Relevant bibliographies by topics / People's tracking

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  1. Journal articles
  2. Dissertations / Theses
  3. Books
  4. Book chapters
  5. Conference papers
  6. Reports

Academic literature on the topic 'People's tracking'

Author: Grafiati
Published: 4 June 2021
Last updated: 1 February 2022

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Journal articles on the topic "People's tracking"

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Bohannon, J. "SOCIAL SCIENCE: Tracking People's Electronic Footprints." Science 314, no. 5801 (November 10, 2006): 914–16. http://dx.doi.org/10.1126/science.314.5801.914.

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Li, Lei, Jun Li, and Shiyi Zhang. "Review article: State-of-the-art trajectory tracking of autonomous vehicles." Mechanical Sciences 12, no. 1 (April 16, 2021): 419–32. http://dx.doi.org/10.5194/ms-12-419-2021.

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Abstract. Air pollution, energy consumption, and human safety issues have aroused people's concern around the world. This phenomenon could be significantly alleviated with the development of automatic driving techniques, artificial intelligence, and computer science. Autonomous vehicles can be generally modularized as environment perception, path planning, and trajectory tracking. Trajectory tracking is a fundamental part of autonomous vehicles which controls the autonomous vehicles effectively and stably to track the reference trajectory that is predetermined by the path planning module. In this paper, a review of the state-of-the-art trajectory tracking of autonomous vehicles is presented. Both the trajectory tracking methods and the most commonly used trajectory tracking controllers of autonomous vehicles, besides state-of-art research studies of these controllers, are described.
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Zeitler, Elisabeth, Laurie Buys, Rosemary Aird, and Evonne Miller. "Mobility and Active Ageing in Suburban Environments: Findings from In-Depth Interviews and Person-Based GPS Tracking." Current Gerontology and Geriatrics Research 2012 (2012): 1–10. http://dx.doi.org/10.1155/2012/257186.

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Background. Governments face a significant challenge to ensure that community environments meet the mobility needs of an ageing population. Therefore, it is critical to investigate the effect of suburban environments on the choice of transportation and its relation to participation and active ageing.Objective. This research explores if and how suburban environments impact older people's mobility and their use of different modes of transport.Methods. Data derived from GPS tracking, travel diaries, brief questionnaires, and semistructured interviews were gathered from thirteen people aged from 56 to 87 years, living in low-density suburban environments in Brisbane, Australia.Results. The suburban environment influenced the choice of transportation and out-of-home mobility. Both walkability and public transportation (access and usability) impact older people's transportation choices. Impracticality of active and public transportation within suburban environments creates car dependency in older age.Conclusion. Suburban environments often create barriers to mobility, which impedes older people's engagement in their wider community and ability to actively age in place. Further research is needed to develop approaches towards age-friendly suburban environments which will encourage older people to remain active and engaged in older age.
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Vigren, Minna, and Harley Bergroth. "Move, eat, sleep, repeat: Living by rhythm with proactive self-tracking technologies." Nordicom Review 42, s4 (September 1, 2021): 137–51. http://dx.doi.org/10.2478/nor-2021-0046.

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Abstract Proactive self-tracking is a proliferating digital media practice that involves gathering data about the body and the self outside a clinical healthcare setting. Various studies have noted that self-tracking technologies affect people's everyday modes of thought and action and stick to their lifeworlds because these technologies seek to promote “improved” modes of behaviour. We investigate how the specific devices and interfaces involved in self-tracking attract and prescribe rhythmicity into everyday lives and elaborate on how human bodies and technical systems of self-tracking interact rhythmically. We draw from new materialist ontology, combining it with Henri Lefebvre's method of rhythmanalysis and his notion of dressage. We employ a collaborative autoethnographical approach and engage with both of our personal fieldwork experiences in living with self-tracking devices. We argue that rhythmicity and dressage are fruitful analytical tools to use in understanding human–technology attachments as well as a variety of everyday struggles inherent in self-tracking practices.
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Chen, Tian Ding, Chao Lu, and Jian Hu. "Dynamic Target Tracking Based on Particle Filter in Actual Environment." Advanced Materials Research 683 (April 2013): 824–27. http://dx.doi.org/10.4028/www.scientific.net/amr.683.824.

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With the development of science and technology, target tracking was applied to many aspects of people's life, such as missile navigation, tanks localization, the plot monitoring system, robot field operation. Particle filter method dealing with the nonlinear and non-Gaussian system was widely used due to the complexity of the actual environment. This paper uses the resampling technology to reduce the particle degradation appeared in our test. Meanwhile, it compared particle filter with Kalman filter to observe their accuracy .The experiment results show that particle filter is more suitable for complex scene, so particle filter is more practical and feasible on target tracking.
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Morariu, Vlad I., David Harwood, and Larry S. Davis. "Tracking People's Hands and Feet Using Mixed Network AND/OR Search." IEEE Transactions on Pattern Analysis and Machine Intelligence 35, no. 5 (May 2013): 1248–62. http://dx.doi.org/10.1109/tpami.2012.187.

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Han, Fang Xu, Chun Fa Li, and Qi Qi Yang. "Research on Energy Logistics Service Quality Management Implications to Sustainable Development." Advanced Materials Research 986-987 (July 2014): 479–82. http://dx.doi.org/10.4028/www.scientific.net/amr.986-987.479.

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Analyzed about the present situation of energy logistics service quality, and combined with related literature at home and abroad, select “energy logistics tracking information timeliness”, “accuracy of energy logistics tracking information”, ”energy delivery time accuracy”, “energy distribution accuracy “, “energy integrity “, “error handling” six elements as a measure factors of the energy logistics service quality, establish research model. Through questionnaire investigation and quantitative analysis verify this research model. The Conclusions: energy distribution of accuracy have significant positive effects on sustainable development, and influence degree; Energy delivery time accuracy, integrity have significant positive effects on sustainable development, but the impact is relatively small; While energy logistics tracking information timeliness, accuracy and error of energy logistics tracking information treatment had no significant influence to the sustainable development of economy and society. Energy logistics is an important part of the logistics industry, also is an important support of economic society and people's life. Improve the quality of energy logistics service, to play an important role in promoting sustainable development.
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Jo, Seong-Hyeon, Jong-Hun Choe, Suk-Hyun Seo, Won-Hoe Kim, Hong-Kyu Lee, and Se-Ho Park. "The smart IV stand design through human tracking mobile robot system by CDS cell." Modern Physics Letters B 29, no. 06n07 (March 20, 2015): 1540013. http://dx.doi.org/10.1142/s0217984915400138.

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Vision-based recognition of the object as a general interface gives us high cost and complicated problem. This research suggests human tracking system by Arduino, and Laser-CdS cell system track wire that pass laser line. In this paper, we review existing literature on application systems of recognition which involves many interdisciplinary studies. We conclude that our method can only reduce cost, but is easy way to trace people's location with the use of wire. Furthermore, we apply several recognition systems including CdS-based mobile robot that is applied IV stand used at the hospital effectively.
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Ding, Yi, Yu Hui Li, and Bo Li. "Advances in Intelligent Visual Surveillance Technology." Applied Mechanics and Materials 738-739 (March 2015): 730–33. http://dx.doi.org/10.4028/www.scientific.net/amm.738-739.730.

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With the improvement of people's security requirements,increasing the number of surveillance cameras,video surveillance by human beings is no longer suitable. Hence,intelligent visual surveillance technology emerges and becomes one of the hottest research points. In this paper,the processing of intelligent video surveillance based on human motion was divided into four categories: target detection,target tracking,object classification and recognition,and behavior analysis. Also made a detailed comprehensive review for situation of these parts,and made comprehensively summarized for the problems and difficulties which have to be resolved.
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Anwar, Haeril, Rusnaena, and Zainal Said. "PERSEPSI MASYARAKAT ISLAM TERHADAP SOLUSI PERMODALAN PADA LEMBAGA KEUANGAN DI KECAMATAN CEMPA KABUPATEN PINRANG." BANCO: Jurnal Manajemen dan Perbankan Syariah 2, no. 1 (May 31, 2020): 44–64. http://dx.doi.org/10.35905/banco.v2i1.1348.

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The lack of understanding of the Islamic community in financial institutions often causes problems in obtaining interest-free business capital solutions. Therefore it is necessary to understand people's perceptions of the capital of financial institutions. These problems can be identified by tracing the process of acquiring, interpreting, selecting, and organizing sensory information. The results of tracking people's perceptions of the capital of financial institutions will be analyzed using Islamic economic analysis.This research uses a qualitative approach and in collecting data using methods of observation, interviews, and documentation. Analysis of the data obtained from interviews, field notes, and other materials, was compiled systematically so that it was easily understood and elaborated in the form of quotations to find out how people's perceptions of capital in financial institutions as well as knowing capital concepts in the Cempa community with Islamic economic analysis.The results showed that: 1) Community perception The earthquake on capital issued by financial institutions is very helpful in improving the community's economy, especially in venture capital. 2) The concept of capital in the average earthquake community still uses conventional financial institutions that use the interest system that is prohibited by Islamic law. The Cempa community still uses the services of conventional financial institutions as a place for capital, because there are no Islamic financial institutions in the area. 3) Financial institutions in the Cempa community are quite evident from the results of interviews, the community uses the services of financial institutions as a place for business capital.
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Dissertations / Theses on the topic "People's tracking"

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Amaral, Wagner Machado do 1986. "Rastreamento de pessoas em vídeo." [s.n.], 2013. http://repositorio.unicamp.br/jspui/handle/REPOSIP/258880.

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Orientador: Clésio Luis Tozzi
Dissertação (mestrado) - Universidade Estadual de Campinas, Faculdade de Engenharia Elétrica e de Computação
Made available in DSpace on 2018-08-23T00:15:20Z (GMT). No. of bitstreams: 1 Amaral_WagnerMachadodo_M.pdf: 4220890 bytes, checksum: 518d7b6f60b9d62b6bb9afd59c4cb552 (MD5) Previous issue date: 2013
Resumo: O barateamento das câmeras de vídeo e o crescente poder de processamento dos computadores tem tornado a vigilância por vídeo um meio acessível e eficaz para monitorar espaços públicos e privados. Nesse contexto, o rastreamento de pessoas por vídeo tem motivado inúmeros trabalhos. O objetivo de um sistema de rastreamento de pessoas e determinar a trajetória das pessoas presentes no vídeo com base na variação de suas posições em cada quadro. Embora as soluções proposta na literatura para resolver o problema do rastreamento apresentem constante evolução, obter as trajetórias das pessoas ainda e um desafio no campo da visão computacional. O presente trabalho aborda aspectos do rastreamento de pessoas em vídeos e propõe um sistema de rastreamento baseado em abordagens descritas na literatura. O sistema proposto nesse trabalho e dividido em duas etapas principais: Detecção do foreground e Calculo das Trajetórias. A etapa de detecção do foreground consiste na detecção das regiões na imagem correspondentes aos alvos a serem seguidos e divididos em três partes: subtração de fundo, remoção de sombras e remoção de ruídos por morfologia matemática. A etapa do calculo das trajetórias e dividida em duas partes: Associação e Gerenciamento das Pessoas Seguidas. A associação corresponde ao processamento realizado em cada quadro, onde as regiões do foreground são associadas às pessoas seguidas com base em métricas relacionadas ao centróide, bounding box e histograma de cor. Durante oclusões um método de detecção de cabeças e utilizado. O gerenciamento das pessoas seguidas corresponde a um procedimento mais amplo, no qual se analisa o deslocamento de todas as pessoas presentes na cena. O sistema proposto no presente trabalho e aplicado a vídeos de bases publicas. Para cada vídeo testado, informações relacionadas ao numero de pessoas no vídeo e suas posições são obtidas manualmente e comparadas aos resultados obtidos através do sistema proposto
Abstract: The increasing of computer power has turned video surveillance into an effective and affordable means to monitor public and private areas. In this context, tracking systems is motivating researchers around the world. The main goal of a tracking system is to determine the location or direction of a target in each video frame. Although the proposed solutions for tracking problems have been improved continuously, people path detection is still a challenge in computer vision field. This work discusses the main aspects of people tracking in video and proposes an implementation based on approaches described in the literature. The system is divided into two main steps: foreground detection and trajectory calculation. The foreground detection step consists of three parts: background subtraction, shadow suppression and noise removal by morphological image processing. The trajectory calculation step is divided into two parts: matching and trajectory management. The matching is performed in each video frame to associate the foreground image regions and the tracked elements. In the implemented system matching metrics related to the centroid position, bounding box and color histogram are used. In case of occlusion a head detection method is employed. In the trajectory management procedure the foreground objects are analyzed and recorded. Public datasets were used to evaluate the system efficiency
Mestrado
Engenharia de Computação
Mestre em Engenharia Elétrica
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Edman, Viktor. "Tracking Groups of People in Video Surveillance." Thesis, Linköpings universitet, Reglerteknik, 2013. http://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-93996.

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In this master thesis, the problem of tracking groups using an image sequence dataset is examined. Target tracking can be defined as the problem of estimating a target's state given prior knowledge about its motion and some sensor measurements related to the target's state. A popular method for target tracking is e.g. the Kalman filter. However, the Kalman filter is insufficient when there are multiple targets in the scene. Consequently, alternative multitarget tracking methods must be applied along with methods for estimating the number of targets in the scene. Multitarget tracking can however be difficult when there are many unresolved targets, e.g. associating observations with targets in dense crowds. A viable simplification is group target tracking, keeping track of groups rather than individual targets. Furthermore, group target tracking is preferred when the user wants to know the motion and extension of a group in e.g. evacuation scenarios. To solve the problem of group target tracking in video surveillance, a combination of GM-PHD filtering and mean shift clustering is proposed. The GM-PHD filter is an approximation of Bayes multitarget filter. Pedestrian detections converted into flat world coordinates from the image dataset are used as input to the filter. The output of the GM-PHD filter consists of Gaussian mixture components with corresponding mean state vectors. The components are divided into groups by using mean shift clustering. An estimate of the number of members and group shape is presented for each group. The method is evaluated using both single camera measurements and two cameras partly surveilling the same area. The results are promising and present a nice visual representation of the groups' characteristics. However, using two cameras gives no improvement in performance, probably due to differences in detections between the two cameras, e.g. a single pedestrian can be observed being at two positions several meters apart making it difficult to determine if it is a single pedestrian or multiple pedestrians.
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Dulai, Amanjit. "Detecting and tracking people in real-time." Thesis, Imperial College London, 2013. http://hdl.handle.net/10044/1/25096.

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The problem of detecting and tracking people in images and video has been the subject of a great deal of research, but remains a challenging task. Being able to detect and track people would have an impact in a number of fields, such as driverless vehicles, automated surveillance, and human-computer interaction. The difficulties that must be overcome include coping with variations in appearance between different people, changes in lighting, and the ability to detect people across multiple scales. As well as having high accuracy, it is desirable for a technique to evaluate an image with low latency between receiving the image and producing a result. This thesis explores methods for detecting and tracking people in images and video. Techniques are implemented on a desktop computer, with an emphasis on low latency. The problem of detection is examined first. The well established integral channel features detector is introduced and reimplemented, and various novelties are implemented in regards to the features used by the detector. Results are given to quantify the accuracy and the speed of the developed detectors on the INRIA person dataset. The method is further extended by examining the prospect of using multiple classifiers in conjunction. It is shown that using a classifier with a version of the same classifier reflected in the vertical axis can improve performance. A novel method for clustering images of people to find modes of appearance is also presented. This involves using boosting classifiers to map a set of images to vectors, to which K-means clustering is applied. Boosting classifiers are then trained on these clustered datasets to create sets of multiple classifiers, and it is demonstrated that these sets of classifiers can be evaluated on images with only a small increase in the running time over single classifiers. The problem of single target tracking is addressed using the mean shift algorithm. Mean shift tracking works by finding the best colour match for a target from frame to frame. A novel form of mean shift tracking through scale is developed, and the problem of multiple target tracking is addressed by using boosting classifiers in conjunction with Kalman filters. Tests are carried out on the CAVIAR dataset, which gives representative examples of surveillance scenarios, to show the performance of the proposed approaches.
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Silva, João Miguel Ferreira da. "People and object tracking for video annotation." Master's thesis, Faculdade de Ciências e Tecnologia, 2012. http://hdl.handle.net/10362/8953.

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Dissertação para obtenção do Grau de Mestre em Engenharia Informática
Object tracking is a thoroughly researched problem, with a body of associated literature dating at least as far back as the late 1970s. However, and despite the development of some satisfactory real-time trackers, it has not yet seen widespread use. This is not due to a lack of applications for the technology, since several interesting ones exist. In this document, it is postulated that this status quo is due, at least in part, to a lack of easy to use software libraries supporting object tracking. An overview of the problems associated with object tracking is presented and the process of developing one such library is documented. This discussion includes how to overcome problems like heterogeneities in object representations and requirements for training or initial object position hints. Video annotation is the process of associating data with a video’s content. Associating data with a video has numerous applications, ranging from making large video archives or long videos searchable, to enabling discussion about and augmentation of the video’s content. Object tracking is presented as a valid approach to both automatic and manual video annotation, and the integration of the developed object tracking library into an existing video annotator, running on a tablet computer, is described. The challenges involved in designing an interface to support the association of video annotations with tracked objects in real-time are also discussed. In particular, we discuss our interaction approaches to handle moving object selection on live video, which we have called “Hold and Overlay” and “Hold and Speed Up”. In addition, the results of a set of preliminary tests are reported.
project “TKB – A Transmedia Knowledge Base for contemporary dance” (PTDC/EA /AVP/098220/2008 funded by FCT/MCTES), the UTAustin – Portugal, Digital Media Program (SFRH/BD/42662/2007 FCT/MCTES) and by CITI/DI/FCT/UNL (Pest-OE/EEI/UI0527/2011)
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Morate, Villagrasa Alejandro. "People detecting and tracking using laser and vision." Thesis, KTH, Reglerteknik, 2005. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-107536.

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As part of design of a personal robot for operation in an everyday environment thereis need to endow the system with facilities to track a person as it is taken on a tour of theenvironment. In the literature a number of different methods based on laser tracking and computer vision have been presented. However, most of these methods are not particularly robust and in many cases the methods do not operate in realtime. In this master thesis a system for people detecting and tracking has been implemented using laser and vision. The information given by both scanners are used for two different purposes, laser range data are used to detect persons and the images grabbed by the camera are used to confirm the hypotheses made by the laser. Methods for people tracking based on laser and vision have two main problems. The ones based on laser are not very robust and the ones based on vision hardly ever operate in real time. This project is aimed at taking the main advantages of both methods: Laser Advantage: High Speed => Works in real time Disadvantage: Not robust => Not reliable 100% Vision: Advantage: Robust => More reliable Disadvantage: Low speed => Does not work in real time
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Limprasert, Wasit. "Real-time people tracking in a camera network." Thesis, Heriot-Watt University, 2012. http://hdl.handle.net/10399/2714.

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Visual tracking is a fundamental key to the recognition and analysis of human behaviour. In this thesis we present an approach to track several subjects using multiple cameras in real time. The tracking framework employs a numerical Bayesian estimator, also known as a particle lter, which has been developed for parallel implementation on a Graphics Processing Unit (GPU). In order to integrate multiple cameras into a single tracking unit we represent the human body by a parametric ellipsoid in a 3D world. The elliptical boundary can be projected rapidly, several hundred times per subject per frame, onto any image for comparison with the image data within a likelihood model. Adding variables to encode visibility and persistence into the state vector, we tackle the problems of distraction and short-period occlusion. However, subjects may also disappear for longer periods due to blind spots between cameras elds of view. To recognise a desired subject after such a long-period, we add coloured texture to the ellipsoid surface, which is learnt and retained during the tracking process. This texture signature improves the recall rate from 60% to 70-80% when compared to state only data association. Compared to a standard Central Processing Unit (CPU) implementation, there is a signi cant speed-up ratio.
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Moradiannejad, Ghazaleh. "People Tracking Under Occlusion Using Gaussian Mixture Model and Fast Level Set Energy Minimization." Thèse, Université d'Ottawa / University of Ottawa, 2013. http://hdl.handle.net/10393/24304.

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Tracking multiple articulated objects (such as a human body) and handling occlusion between them is a challenging problem in automated video analysis. This work proposes a new approach for accurately and steadily visual tracking people, which should function even if the system encounters occlusion in video sequences. In this approach, targets are represented with a Gaussian mixture, which are adapted to regions of the target automatically using an EM-model algorithm. Field speeds are defined for changed pixels in each frame based on the probability of their belonging to a particular person's blobs. Pixels are matched to the models using a fast numerical level set method. Since each target is tracked with its blob's information, the system is capable of handling partial or full occlusion during tracking. Experimental results on a number of challenging sequences that were collected in non-experimental environments demonstrate the effectiveness of the approach.
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Mashad, Nemati Hassan. "Detection and Tracking of People from Laser Range Data." Thesis, Högskolan i Halmstad, Halmstad Embedded and Intelligent Systems Research (EIS), 2010. http://urn.kb.se/resolve?urn=urn:nbn:se:hh:diva-6102.

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In this thesis report, some of the most promising techniques, in the field of intelligent vehicles and mobile robotics, for detection and tracking of moving objects in an indoor environment are investigated. Kalman filter (KF), extended Kalman filter (EKF), and particle filters (PF) based techniques for the tracking of people are implemented and evaluated. A heuristic method is then proposed to improve the performance of the EKF based tracking in situations where moving objects are hidden by obstacles. The proposed method is based on points of maximum uncertainty (PMU) in occlusion situations and its complexity and accuracy is compared with PF method. The EKF, PF and PMU based methods are examined and compared using experimental data which are extracted by a laser range finder in an indoor environment with predefined hinders and people as the moving objects.
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Boschini, Matteo. "A deep learning-based approach for 3D people tracking." Bachelor's thesis, Alma Mater Studiorum - Università di Bologna, 2016. http://amslaurea.unibo.it/11321/.

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Questa tesi si occupa dell’estensione di un framework software finalizzato all'individuazione e al tracciamento di persone in una scena ripresa da telecamera stereoscopica. In primo luogo è rimossa la necessità di una calibrazione manuale offline del sistema sfruttando algoritmi che consentono di individuare, a partire da un fotogramma acquisito dalla camera, il piano su cui i soggetti tracciati si muovono. Inoltre, è introdotto un modulo software basato su deep learning con lo scopo di migliorare la precisione del tracciamento. Questo componente, che è in grado di individuare le teste presenti in un fotogramma, consente ridurre i dati analizzati al solo intorno della posizione effettiva di una persona, escludendo oggetti che l’algoritmo di tracciamento sarebbe portato a individuare come persone.
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Hou, Yali, and 侯亚丽. "Video-based people counting and crowd segmentation." Thesis, The University of Hong Kong (Pokfulam, Hong Kong), 2011. http://hub.hku.hk/bib/B47032339.

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Books on the topic "People's tracking"

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U.S. Department of Health and Human Services. Healthy people 2010: Tracking healthy people 2010. Washington, DC: U.S. Department of Health and Human Services, 2000.

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U.S. Department of Health and Human Services. Tracking healthy people 2010: Healthy people 2010. Washington, DC: U.S. Department of Health and Human Services, 2000.

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U.S. Department of Health and Human Services. Health People 2010: Tracking healthy people 2010. Washington, DC: U.S. Dept. of Health and Human Services, 2000.

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Services, U. S. Department of Health and Human. Tracking healthy people 2010: Healthy people 2010. Washington, DC: U.S. Department of Health and Human Services, 2000.

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U.S. Department of Health and Human Services. Healthy People 2010: Tracking healthy people 2010. Washington, DC: U.S. Dept. of Health and Human Services, 2000.

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Lowe, Pat. Hunters and trackers of the Australian desert. Dural, N.S.W: Rosenberg Pub., 2002.

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Gaze interaction and applications of eye tracking: Advances in assistive technologies. Hershey, PA: Medical Information Science Reference, 2012.

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Clark, Philip G. Acquisition!: Stories, memories and pictures from pictures from people who made history : the story of Orroral Valley Space Tracking Station. Canberra: Philip Clark, 2012.

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Robinson, Ann. Befriending and tracking schemes: One to one work with children & young people in trouble orat risk. London: National Children's Bureau, 1986.

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Bernier, R. G. The deer tracker's journey. Standish, ME: Big Whitetail Consultants, 2006.

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Book chapters on the topic "People's tracking"

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Rosenhahn, Bodo, Uwe G. Kersting, Katie Powell, Thomas Brox, and Hans-Peter Seidel. "Tracking Clothed People." In Human Motion, 295–317. Dordrecht: Springer Netherlands, 2008. http://dx.doi.org/10.1007/978-1-4020-6693-1_12.

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Rowe, Daniel, Ian Reid, Jordi Gonzàlez, and Juan Jose Villanueva. "Unconstrained Multiple-People Tracking." In Lecture Notes in Computer Science, 505–14. Berlin, Heidelberg: Springer Berlin Heidelberg, 2006. http://dx.doi.org/10.1007/11861898_51.

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Luber, Matthias, Gian Diego Tipaldi, and Kai O. Arras. "Place-Dependent People Tracking." In Springer Tracts in Advanced Robotics, 557–72. Berlin, Heidelberg: Springer Berlin Heidelberg, 2011. http://dx.doi.org/10.1007/978-3-642-19457-3_33.

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Brubaker, Marcus A., Leonid Sigal, and David J. Fleet. "Video-Based People Tracking." In Handbook of Ambient Intelligence and Smart Environments, 57–87. Boston, MA: Springer US, 2010. http://dx.doi.org/10.1007/978-0-387-93808-0_3.

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Luo, Chong, and Wenjun Zeng. "Monocular and Binocular People Tracking." In Computer Vision, 1–4. Cham: Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-030-03243-2_872-1.

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Boltes, Maik, and Armin Seyfried. "Tracking People in Crowded Scenes." In Pedestrian and Evacuation Dynamics 2012, 533–42. Cham: Springer International Publishing, 2013. http://dx.doi.org/10.1007/978-3-319-02447-9_44.

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Fleet, David J. "Motion Models for People Tracking." In Visual Analysis of Humans, 171–98. London: Springer London, 2011. http://dx.doi.org/10.1007/978-0-85729-997-0_10.

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Etang, Alvin, and Johannes Hoogeveen. "Tracking Displaced People in Mali." In Data Collection in Fragile States, 51–62. Cham: Springer International Publishing, 2019. http://dx.doi.org/10.1007/978-3-030-25120-8_4.

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Ching-Han, Chen, and Yan Miao-Chun. "PSO-Based Multiple People Tracking." In Communications in Computer and Information Science, 267–76. Berlin, Heidelberg: Springer Berlin Heidelberg, 2011. http://dx.doi.org/10.1007/978-3-642-21984-9_23.

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Yildiz, Alparslan, Noriko Takemura, Yoshio Iwai, and Kosuke Sato. "Tracking People with Active Cameras." In Human-Computer Interaction. Towards Intelligent and Implicit Interaction, 270–79. Berlin, Heidelberg: Springer Berlin Heidelberg, 2013. http://dx.doi.org/10.1007/978-3-642-39342-6_30.

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Conference papers on the topic "People's tracking"

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Ranjan, Juhi, Yu Yao, and Kamin Whitehouse. "An RF doormat for tracking people's room locations." In UbiComp '13: The 2013 ACM International Joint Conference on Pervasive and Ubiquitous Computing. New York, NY, USA: ACM, 2013. http://dx.doi.org/10.1145/2493432.2493514.

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Takahashi, Satoshi, Jeffrey Wong, Masakazu Miyamae, Tsutomu Terada, Haruo Noma, Tomoji Toriyama, Kiyoshi Kogure, and Shojiro Nishio. "A ZigBee-based sensor node for tracking people's locations." In the 2nd ACM international conference. New York, New York, USA: ACM Press, 2008. http://dx.doi.org/10.1145/1367943.1367947.

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Chen, Min, and Dao-Yong Tu. "Empirical Study of Tracking down the Upper-Reaches aLower-Reaches Suspects in the Drug-Related Cases in Shaanxi Province of the People's Republic of China." In 3rd Annual International Conference on Social Science and Contemporary Humanity Development (SSCHD 2017). Paris, France: Atlantis Press, 2017. http://dx.doi.org/10.2991/sschd-17.2017.41.

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Andriluka, Mykhaylo, Stefan Roth, and Bernt Schiele. "People-tracking-by-detection and people-detection-by-tracking." In 2008 IEEE Conference on Computer Vision and Pattern Recognition (CVPR). IEEE, 2008. http://dx.doi.org/10.1109/cvpr.2008.4587583.

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Vasisht, Sneha, and Min Chen. "Video-Based People Tracking." In 2017 IEEE Third International Conference on Multimedia Big Data (BigMM). IEEE, 2017. http://dx.doi.org/10.1109/bigmm.2017.77.

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Min Hu, Weiming Hu, and Tieniu Tan. "Tracking people through occlusions." In Proceedings of the 17th International Conference on Pattern Recognition, 2004. ICPR 2004. IEEE, 2004. http://dx.doi.org/10.1109/icpr.2004.1334361.

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Taliaferro, David. "DFW Skylink: Tracking Success." In 12th International Conference of Automated People Movers. Reston, VA: American Society of Civil Engineers, 2009. http://dx.doi.org/10.1061/41038(343)5.

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Luber, Matthias, Gian Diego Tipaldi, and Kai O. Arras. "Better models for people tracking." In 2011 IEEE International Conference on Robotics and Automation (ICRA). IEEE, 2011. http://dx.doi.org/10.1109/icra.2011.5980296.

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Baumgartner, Tobias, Dennis Mitzel, and Bastian Leibe. "Tracking People and Their Objects." In 2013 IEEE Conference on Computer Vision and Pattern Recognition (CVPR). IEEE, 2013. http://dx.doi.org/10.1109/cvpr.2013.469.

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Azhar, Muhamad Izham Hadi, Fadhlan Hafizhelmi Kamaru Zaman, Nooritawati Md Tahir, and Habibah Hashim. "People Tracking System Using DeepSORT." In 2020 10th IEEE International Conference on Control System, Computing and Engineering (ICCSCE). IEEE, 2020. http://dx.doi.org/10.1109/iccsce50387.2020.9204956.

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Reports on the topic "People's tracking"

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Phillips, Jake. Understanding the impact of inspection on probation. Sheffield Hallam University, 2021. http://dx.doi.org/10.7190/shu.hkcij.05.2021.

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Abstract:
This research sought to understand the impact of probation inspection on probation policy, practice and practitioners. This important but neglected area of study has significant ramifications because the Her Majesty’s Inspectorate of Probation has considerable power to influence policy through its inspection regime and research activities. The study utilised a mixed methodological approach comprising observations of inspections and interviews with people who work in probation, the Inspectorate and external stakeholders. In total, 77 people were interviewed or took part in focus groups. Probation practitioners, managers and leaders were interviewed in the weeks after an inspection to find out how they experienced the process of inspection. Staff at HMI Probation were interviewed to understand what inspection is for and how it works. External stakeholders representing people from the voluntary sector, politics and other non-departmental bodies were interviewed to find out how they used the work of inspection in their own roles. Finally, leaders within the National Probation Service and Her Majesty’s Prisons and Probation Service were interviewed to see how inspection impacts on policy more broadly. The data were analysed thematically with five key themes being identified. Overall, participants were positive about the way inspection is carried out in the field of probation. The main findings are: 1. Inspection places a burden on practitioners and organisations. Practitioners talked about the anxiety that a looming inspection created and how management teams created additional pressures which were hard to cope with on top of already high workloads. Staff responsible for managing the inspection and with leadership positions talked about the amount of time the process of inspection took up. Importantly, inspection was seen to take people away from their day jobs and meant other priorities were side-lined, even if temporarily. However, the case interviews that practitioners take part in were seen as incredibly valuable exercises which gave staff the opportunity to reflect on their practice and receive positive feedback and validation for their work. 2. Providers said that the findings and conclusions from inspections were often accurate and, to some extent, unsurprising. However, they sometimes find it difficult to implement recommendations due to reports failing to take context into account. Negative reports have a serious impact on staff morale, especially for CRCs and there was concern about the impact of negative findings on a provider’s reputation. 3. External stakeholders value the work of the Inspectorate. The Inspectorate is seen to generate highly valid and meaningful data which stakeholders can use in their own roles. This can include pushing for policy reform or holding government to account from different perspectives. In particular, thematic inspections were seen to be useful here. 4. The regulatory landscape in probation is complex with an array of actors working to hold providers to account. When compared to other forms of regulation such as audit or contract management the Inspectorate was perceived positively due to its methodological approach as well as the way it reflects the values of probation itself. 5. Overall, the inspectorate appears to garner considerable legitimacy from those it inspects. This should, in theory, support the way it can impact on policy and practice. There are some areas for development here though such as more engagement with service users. While recognising that the Inspectorate has made a concerted effort to do this in the last two years participants all felt that more needs to be done to increase that trust between the inspectorate and service users. Overall, the Inspectorate was seen to be independent and 3 impartial although this belief was less prevalent amongst people in CRCs who argued that the Inspectorate has been biased towards supporting its own arguments around reversing the now failed policy of Transforming Rehabilitation. There was some debate amongst participants about how the Inspectorate could, or should, enforce compliance with its recommendations although most people were happy with the primarily relational way of encouraging compliance with sanctions for non-compliance being considered relatively unnecessary. To conclude, the work of the Inspectorate has a significant impact on probation policy, practice and practitioners. The majority of participants were positive about the process of inspection and the Inspectorate more broadly, notwithstanding some of the issues raised in the findings. There are some developments which the Inspectorate could consider to reduce the burden inspection places on providers and practitioners and enhance its impact such as amending the frequency of inspection, improving the feedback given to practitioners and providing more localised feedback, and working to reduce or limit perceptions of bias amongst people in CRCs. The Inspectorate could also do more to capture the impact it has on providers and practitioners – both positive and negative - through existing procedures that are in place such as post-case interview surveys and tracking the implementation of recommendations.
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