Gotowe bibliografie tematyczne / Multi-Camera System

Spis treści

  1. Artykuły w czasopismach
  2. Rozprawy doktorskie
  3. Książki
  4. Części książek
  5. Streszczenia konferencji
  6. Raporty organizacyjne

Gotowa bibliografia na temat „Multi-Camera System”

Autor: Grafiati
Data publikacji: 4 czerwca 2021
Data aktualizacji: 28 stycznia 2023

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Artykuły w czasopismach na temat "Multi-Camera System"

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Zhang, Zirui, and Jun Cheng. "Multi-Camera Tracking Helmet System." Journal of Image and Graphics 1, no. 2 (2013): 76–79. http://dx.doi.org/10.12720/joig.1.2.76-79.

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MOMIYAMA, Takumi, and Tsuyoshi SHIMIZU. "202 Calibration Flexible multi camera system." Proceedings of Yamanashi District Conference 2014 (2014): 31–32. http://dx.doi.org/10.1299/jsmeyamanashi.2014.31.

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Detchev, I., M. Mazaheri, S. Rondeel, and A. Habib. "Calibration of multi-camera photogrammetric systems." ISPRS - International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences XL-1 (November 7, 2014): 101–8. http://dx.doi.org/10.5194/isprsarchives-xl-1-101-2014.

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Due to the low-cost and off-the-shelf availability of consumer grade cameras, multi-camera photogrammetric systems have become a popular means for 3D reconstruction. These systems can be used in a variety of applications such as infrastructure monitoring, cultural heritage documentation, biomedicine, mobile mapping, as-built architectural surveys, etc. In order to ensure that the required precision is met, a system calibration must be performed prior to the data collection campaign. This system calibration should be performed as efficiently as possible, because it may need to be completed many
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Aizawa, Kiyoharu. "Multi-camera Surveillance System using Wireless LAN." Journal of Life Support Engineering 18, Supplement (2006): 3. http://dx.doi.org/10.5136/lifesupport.18.supplement_3.

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Wierzbicki, Damian. "Multi-Camera Imaging System for UAV Photogrammetry." Sensors 18, no. 8 (July 26, 2018): 2433. http://dx.doi.org/10.3390/s18082433.

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In the last few years, it has been possible to observe a considerable increase in the use of unmanned aerial vehicles (UAV) equipped with compact digital cameras for environment mapping. The next stage in the development of photogrammetry from low altitudes was the development of the imagery data from UAV oblique images. Imagery data was obtained from side-facing directions. As in professional photogrammetric systems, it is possible to record footprints of tree crowns and other forms of the natural environment. The use of a multi-camera system will significantly reduce one of the main UAV phot
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Zhou, Zhipeng, Dong Yin, Jinwen Ding, Yuhao Luo, Mingyue Yuan, and Chengfeng Zhu. "Collaborative Tracking Method in Multi-Camera System." Journal of Shanghai Jiaotong University (Science) 25, no. 6 (May 29, 2020): 802–10. http://dx.doi.org/10.1007/s12204-020-2188-x.

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Leipner, Anja, Rilana Baumeister, Michael J. Thali, Marcel Braun, Erika Dobler, and Lars C. Ebert. "Multi-camera system for 3D forensic documentation." Forensic Science International 261 (April 2016): 123–28. http://dx.doi.org/10.1016/j.forsciint.2016.02.003.

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Hsu, Che-Hao, Wen-Huang Cheng, Yi-Leh Wu, Wen-Shiung Huang, Tao Mei, and Kai-Lung Hua. "CrossbowCam: a handheld adjustable multi-camera system." Multimedia Tools and Applications 76, no. 23 (June 5, 2017): 24961–81. http://dx.doi.org/10.1007/s11042-017-4852-1.

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Yin, Lei, Xiangjun Wang, Yubo Ni, Kai Zhou, and Jilong Zhang. "Extrinsic Parameters Calibration Method of Cameras with Non-Overlapping Fields of View in Airborne Remote Sensing." Remote Sensing 10, no. 8 (August 16, 2018): 1298. http://dx.doi.org/10.3390/rs10081298.

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Multi-camera systems are widely used in the fields of airborne remote sensing and unmanned aerial vehicle imaging. The measurement precision of these systems depends on the accuracy of the extrinsic parameters. Therefore, it is important to accurately calibrate the extrinsic parameters between the onboard cameras. Unlike conventional multi-camera calibration methods with a common field of view (FOV), multi-camera calibration without overlapping FOVs has certain difficulties. In this paper, we propose a calibration method for a multi-camera system without common FOVs, which is used on aero phot
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ZHANG Lai-gang, 张来刚, 魏仲慧 WEO Zhong-hui, 何昕 HE Xin, and 孙群 SUN Qun. "Multi-Camera Measurement System Based on Multi-Constraint Fusion Algorithm." Chinese Journal of Liquid Crystals and Displays 28, no. 4 (2013): 608–14. http://dx.doi.org/10.3788/yjyxs20132804.0608.

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Rozprawy doktorskie na temat "Multi-Camera System"

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Vibeck, Alexander. "Synchronization of a Multi Camera System." Thesis, Linköpings universitet, Datorseende, 2015. http://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-119408.

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In a synchronized multi camera system it is imperative that the synchronization error between the different cameras is as close to zero as possible and the jitter of the presumed frame rate is as small as possible. It is even more important when these systems are used in an autonomous vehicle trying to sense its surroundings. We would never hand over the control to a autonomous vehicle if we couldn't trust the data it is using for moving around. The purpose of this thesis was to build a synchronization setup for a multi camera system using state of the art RayTrix digital cameras that will be
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Kim, Jae-Hak, and Jae-Hak Kim@anu edu au. "Camera Motion Estimation for Multi-Camera Systems." The Australian National University. Research School of Information Sciences and Engineering, 2008. http://thesis.anu.edu.au./public/adt-ANU20081211.011120.

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The estimation of motion of multi-camera systems is one of the most important tasks in computer vision research. Recently, some issues have been raised about general camera models and multi-camera systems. Using many cameras as a single camera is studied [60], and the epipolar geometry constraints of general camera models is theoretically derived. Methods for calibration, including a self-calibration method for general camera models, are studied [78, 62]. Multi-camera systems are an example of practically implementable general camera models and they are widely used in many applications nowaday
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Mortensen, Daniel T. "Foreground Removal in a Multi-Camera System." DigitalCommons@USU, 2019. https://digitalcommons.usu.edu/etd/7669.

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Traditionally, whiteboards have been used to brainstorm, teach, and convey ideas with others. However distributing whiteboard content remotely can be challenging. To solve this problem, A multi-camera system was developed which can be scaled to broadcast an arbitrarily large writing surface while removing objects not related to the whiteboard content. Related research has been performed previously to combine multiple images together, identify and remove unrelated objects, also referred to as foreground, in a single image and correct for warping differences in camera frames. However, this is th
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Zhou, Han, and 周晗. "Intelligent video surveillance in a calibrated multi-camera system." Thesis, The University of Hong Kong (Pokfulam, Hong Kong), 2011. http://hub.hku.hk/bib/B45989217.

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Åkesson, Ulrik. "Design of a multi-camera system for object identification, localisation, and visual servoing." Thesis, Mälardalens högskola, Akademin för innovation, design och teknik, 2019. http://urn.kb.se/resolve?urn=urn:nbn:se:mdh:diva-44082.

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In this thesis, the development of a stereo camera system for an intelligent tool is presented. The task of the system is to identify and localise objects so that the tool can guide a robot. Different approaches to object detection have been implemented and evaluated and the systems ability to localise objects has been tested. The results show that the system can achieve a localisation accuracy below 5 mm.
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Turesson, Eric. "Multi-camera Computer Vision for Object Tracking: A comparative study." Thesis, Blekinge Tekniska Högskola, Institutionen för datavetenskap, 2021. http://urn.kb.se/resolve?urn=urn:nbn:se:bth-21810.

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Background: Video surveillance is a growing area where it can help with deterring crime, support investigation or to help gather statistics. These are just some areas where video surveillance can aid society. However, there is an improvement that could increase the efficiency of video surveillance by introducing tracking. More specifically, tracking between cameras in a network. Automating this process could reduce the need for humans to monitor and review since the tracking can track and inform the relevant people on its own. This has a wide array of usability areas, such as forensic investig
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Bachnak, Rafic A. "Development of a stereo-based multi-camera system for 3-D vision." Ohio : Ohio University, 1989. http://www.ohiolink.edu/etd/view.cgi?ohiou1172005477.

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Becklinger, Nicole Lynn. "Design and test of a multi-camera based orthorectified airborne imaging system." Thesis, University of Iowa, 2010. https://ir.uiowa.edu/etd/461.

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Airborne imaging platforms have been applied to such diverse areas as surveillance, natural disaster monitoring, cartography and environmental research. However, airborne imaging data can be expensive, out of date, or difficult to interpret. This work introduces an Orthorectified Airborne Imaging (OAI) system designed to provide near real time images in Google Earth. The OAI system consists of a six camera airborne image collection system and a ground based image processing system. Images and position data are transmitted from the air to the ground station using a point to point (PTP) data lin
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Beriault, Silvain. "Multi-camera system design, calibration and three-dimensional reconstruction for markerless motion capture." Thesis, University of Ottawa (Canada), 2008. http://hdl.handle.net/10393/27957.

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Recently, significant advances have been made in many sub-areas regarding the problem of markerless human motion capture. However, markerless solutions still tend to introduce major simplifications, especially in early stages of the process, that temper the robustness and the generality of any subsequent modules and, consequently, of the whole application. This thesis concentrates on improving the aspects of multi-camera system design, multi-camera calibration and shape-from-silhouette volumetric reconstruction. In Chapter 3, a thoughtful system analysis is first proposed with the objective of
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Santos, de Freitas Rafael Luiz. "MULTI-CAMERA SURVEILLANCE SYSTEM FOR TIME AND MOTION STUDIES OF TIMBER HARVESTING OPERATIONS." UKnowledge, 2019. https://uknowledge.uky.edu/forestry_etds/48.

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Timber harvesting is an important activity in the state of Kentucky; however, there is still a lack of information about the procedure used by the local loggers. The stump to landing transport of logs with skidders is often the most expensive and time-consuming task in timber harvesting operations. This thesis evaluated the feasibility of using a multi-camera system for time and motion studies of timber harvesting operations. It was installed in 5 skidders in 3 different harvesting sites in Kentucky. The time stamped video provided accurate time consumption data for each work phase of the skid
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Książki na temat "Multi-Camera System"

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HST Calibration Workshop (4th 2002 Baltimore, Md.). The 2002 HST calibration workshop: Hubble after the installation of the ACS and the NICMOS cooling system : proceedings of a workshop held at the Space Telescope Science Institute, Baltimore, Maryland, October 17 and 18, 2002. Baltimore, MD: Published and distributed by the Space Telescope Science Institute, 2003.

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Beach, David Michael. Multi-camera benchmark localization for mobile robot networks. 2005.

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Beach, David Michael. Multi-camera benchmark localization for mobile robot networks. 2004.

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Knorr, Moritz. Self-Calibration of Multi-Camera Systems for Vehicle Surround Sensing. Saint Philip Street Press, 2020.

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Cerqueira, Manuel D. Gated SPECT MPI. Oxford University Press, 2015. http://dx.doi.org/10.1093/med/9780199392094.003.0006.

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Protocols for SPECT MPI have evolved over the last 40-years based on the following factors: available radiotracers and gamma camera imaging systems, alternative methods of stress, the needs and demands of patients and referring physicians, the need for radiation dose reduction and optimization of laboratory efficiency. Initially studies were performed using dynamic exercise planar multi-day Thallium-201 (Tl-201) studies. Pharmacologic stress agents were not available and novel methods of stress included swallowed esophageal pacing leads, cold presser limb emersion, direct atrial pacing, crushe
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Części książek na temat "Multi-Camera System"

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Javed, Omar, and Mubarak Shah. "Knight Surveillance System Deployment." In Automated Multi-Camera Surveillance: Algorithms and Practice, 1–5. Boston, MA: Springer US, 2008. http://dx.doi.org/10.1007/978-0-387-78881-4_6.

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Qi, Xinlei, Yaqing Ding, Jin Xie, and Jian Yang. "Planar Motion Estimation for Multi-camera System." In Lecture Notes in Computer Science, 116–29. Cham: Springer International Publishing, 2022. http://dx.doi.org/10.1007/978-3-031-02375-0_9.

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Gillich, Eugen, Jan-Friedrich Ehlenbröker, Jan Leif Hoffmann, and Uwe Mönks. "A Low-Cost Multi-Camera System With Multi-Spectral Illumination." In Technologien für die intelligente Automation, 302–14. Berlin, Heidelberg: Springer Berlin Heidelberg, 2020. http://dx.doi.org/10.1007/978-3-662-59895-5_22.

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Alidoost, Fatemeh, Gerrit Austen, and Michael Hahn. "A Multi-camera Mobile System for Tunnel Inspection." In iCity. Transformative Research for the Livable, Intelligent, and Sustainable City, 211–24. Cham: Springer International Publishing, 2022. http://dx.doi.org/10.1007/978-3-030-92096-8_13.

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AbstractThe safety, proper maintenance, and renovation of tunnel structures have become a critical problem for urban management in view of the aging of tunnels. Tunnel inspection and inventory are regulated by construction laws and must be carried out at regular intervals. Advances in digitalization and machine vision technologies enable the development of an automated and BIM-based system to collect data from tunnel surfaces. In this study, a tunnel inspection system using vision-based systems and the related principles are introduced to measure the tunnel surfaces efficiently. In addition, the main components and requirements for subsystems are presented, and different challenges in data acquisition and point cloud generation are explained based on investigations during initial experiments.
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Marcinkowski, Piotr, Adam Korzeniewski, and Andrzej Cżyzewski. "Human Tracking in Multi-camera Visual Surveillance System." In Communications in Computer and Information Science, 277–85. Berlin, Heidelberg: Springer Berlin Heidelberg, 2011. http://dx.doi.org/10.1007/978-3-642-21512-4_33.

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Mliki, Hazar, Mariem Naffeti, and Emna Fendri. "Bimodal Person Re-identification in Multi-camera System." In Advanced Concepts for Intelligent Vision Systems, 554–65. Cham: Springer International Publishing, 2017. http://dx.doi.org/10.1007/978-3-319-70353-4_47.

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Dockstader, Shiloh L., and A. Murat Tekalp. "Biometric Feature Extraction in a Multi-Camera Surveillance System." In Multisensor Surveillance Systems, 219–34. Boston, MA: Springer US, 2003. http://dx.doi.org/10.1007/978-1-4615-0371-2_12.

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Collins, Robert T., Omead Amidi, and Takeo Kanade. "Acquiring Multi-View Video with an Active Camera System." In Multisensor Surveillance Systems, 135–47. Boston, MA: Springer US, 2003. http://dx.doi.org/10.1007/978-1-4615-0371-2_8.

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Han, Song, Xiaojing Gu, and Xingsheng Gu. "An Accurate Calibration Method of a Multi Camera System." In Communications in Computer and Information Science, 491–501. Singapore: Springer Singapore, 2017. http://dx.doi.org/10.1007/978-981-10-6370-1_49.

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Manolova, Agata, Stanislav Panev, and Krasimir Tonchev. "Human Gaze Tracking With An Active Multi-Camera System." In Biometric Authentication, 176–88. Cham: Springer International Publishing, 2014. http://dx.doi.org/10.1007/978-3-319-13386-7_14.

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Streszczenia konferencji na temat "Multi-Camera System"

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Salman, Bakhita, Mohammed I. Thanoon, Saleh Zein-Sabatto, and Fenghui Yao. "Multi-camera Smart Surveillance System." In 2017 International Conference on Computational Science and Computational Intelligence (CSCI). IEEE, 2017. http://dx.doi.org/10.1109/csci.2017.78.

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Napoletano, Paolo, and Francesco Tisato. "An attentive multi-camera system." In IS&T/SPIE Electronic Imaging, edited by Kurt S. Niel and Philip R. Bingham. SPIE, 2014. http://dx.doi.org/10.1117/12.2042652.

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Behera, Reena Kumari, Pallavi Kharade, Suresh Yerva, Pranali Dhane, Ankita Jain, and Krishnan Kutty. "Multi-camera based surveillance system." In 2012 World Congress on Information and Communication Technologies (WICT). IEEE, 2012. http://dx.doi.org/10.1109/wict.2012.6409058.

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Yang, Feng, Zhao Liming, Zhang Yi, and Kuang Hengyang. "Multi-camera System Depth Estimation." In 2022 IEEE 6th Information Technology and Mechatronics Engineering Conference (ITOEC). IEEE, 2022. http://dx.doi.org/10.1109/itoec53115.2022.9734714.

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Hussain, Muddsser, Rong Xie, Liang Zhang, Mehmood Nawaz, and Malik Asfandyar. "Multi-target tracking identification system under multi-camera surveillance system." In 2016 International Conference on Progress in Informatics and Computing (PIC). IEEE, 2016. http://dx.doi.org/10.1109/pic.2016.7949516.

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Dias, João, and Pedro Mendes Jorge. "People tracking with multi-camera system." In ICDSC '15: International Conference on distributed Smart Cameras. New York, NY, USA: ACM, 2015. http://dx.doi.org/10.1145/2789116.2789141.

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Specker, Andreas, Daniel Stadler, Lucas Florin, and Jurgen Beyerer. "An Occlusion-aware Multi-target Multi-camera Tracking System." In 2021 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW). IEEE, 2021. http://dx.doi.org/10.1109/cvprw53098.2021.00471.

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Dong, Chenwei, Junlei Zhou, Weipeng Wen, and Si Chen. "Deep Learning Based Multi-Target Multi-Camera Tracking System." In ICCAI '22: 2022 8th International Conference on Computing and Artificial Intelligence. New York, NY, USA: ACM, 2022. http://dx.doi.org/10.1145/3532213.3532276.

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Szaloki, David, Norbert Koszo, Kristof Csorba, and Gabor Tevesz. "Marker localization with a multi-camera system." In 2013 IEEE International Conference on System Science and Engineering (ICSSE). IEEE, 2013. http://dx.doi.org/10.1109/icsse.2013.6614647.

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Razalli, Husniza, Mohammed Hazim Alkawaz, and Aizat Syazwan Suhemi. "Smart IOT Surveillance Multi-Camera Monitoring System." In 2019 IEEE 7th Conference on Systems, Process and Control (ICSPC). IEEE, 2019. http://dx.doi.org/10.1109/icspc47137.2019.9067984.

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Raporty organizacyjne na temat "Multi-Camera System"

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Frankel, Martin, and Jon A. Webb. Design, Implementation, and Performance of a Scalable Multi-Camera Interactive Video Capture System,. Fort Belvoir, VA: Defense Technical Information Center, June 1995. http://dx.doi.org/10.21236/ada303255.

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Davis, Tim, Frank Lang, Joe Sinneger, Paul Stabile, and John Tower. Multi-Band Infrared Camera Systems. Fort Belvoir, VA: Defense Technical Information Center, December 1994. http://dx.doi.org/10.21236/ada294028.

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Tao, Yang, Amos Mizrach, Victor Alchanatis, Nachshon Shamir, and Tom Porter. Automated imaging broiler chicksexing for gender-specific and efficient production. United States Department of Agriculture, December 2014. http://dx.doi.org/10.32747/2014.7594391.bard.

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Extending the previous two years of research results (Mizarch, et al, 2012, Tao, 2011, 2012), the third year’s efforts in both Maryland and Israel were directed towards the engineering of the system. The activities included the robust chick handling and its conveyor system development, optical system improvement, online dynamic motion imaging of chicks, multi-image sequence optimal feather extraction and detection, and pattern recognition. Mechanical System Engineering The third model of the mechanical chick handling system with high-speed imaging system was built as shown in Fig. 1. This syst
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Anderson, Gerald L., and Kalman Peleg. Precision Cropping by Remotely Sensed Prorotype Plots and Calibration in the Complex Domain. United States Department of Agriculture, December 2002. http://dx.doi.org/10.32747/2002.7585193.bard.

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This research report describes a methodology whereby multi-spectral and hyperspectral imagery from remote sensing, is used for deriving predicted field maps of selected plant growth attributes which are required for precision cropping. A major task in precision cropping is to establish areas of the field that differ from the rest of the field and share a common characteristic. Yield distribution f maps can be prepared by yield monitors, which are available for some harvester types. Other field attributes of interest in precision cropping, e.g. soil properties, leaf Nitrate, biomass etc. are ob
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Kulhandjian, Hovannes. Detecting Driver Drowsiness with Multi-Sensor Data Fusion Combined with Machine Learning. Mineta Transportation Institute, September 2021. http://dx.doi.org/10.31979/mti.2021.2015.

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In this research work, we develop a drowsy driver detection system through the application of visual and radar sensors combined with machine learning. The system concept was derived from the desire to achieve a high level of driver safety through the prevention of potentially fatal accidents involving drowsy drivers. According to the National Highway Traffic Safety Administration, drowsy driving resulted in 50,000 injuries across 91,000 police-reported accidents, and a death toll of nearly 800 in 2017. The objective of this research work is to provide a working prototype of Advanced Driver Ass
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Warrick, Arthur W., Gideon Oron, Mary M. Poulton, Rony Wallach, and Alex Furman. Multi-Dimensional Infiltration and Distribution of Water of Different Qualities and Solutes Related Through Artificial Neural Networks. United States Department of Agriculture, January 2009. http://dx.doi.org/10.32747/2009.7695865.bard.

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The project exploits the use of Artificial Neural Networks (ANN) to describe infiltration, water, and solute distribution in the soil during irrigation. It provides a method of simulating water and solute movement in the subsurface which, in principle, is different and has some advantages over the more common approach of numerical modeling of flow and transport equations. The five objectives were (i) Numerically develop a database for the prediction of water and solute distribution for irrigation; (ii) Develop predictive models using ANN; (iii) Develop an experimental (laboratory) database of
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