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Journal articles on the topic 'Infrared motion tracking'

Author: Grafiati
Published: 4 June 2021
Last updated: 15 February 2022

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1

Lei, Liu, and Huang Zhijian. "Improved motion information-based infrared dim target tracking algorithms." Infrared Physics & Technology 67 (November 2014): 341–49. http://dx.doi.org/10.1016/j.infrared.2014.08.015.

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2

Cheng, Tze-Yuan, and Cila Herman. "Motion tracking in infrared imaging for quantitative medical diagnostic applications." Infrared Physics & Technology 62 (January 2014): 70–80. http://dx.doi.org/10.1016/j.infrared.2013.10.009.

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3

Wang, Qing Qing, Li Guo Zheng, and Jia Nan Meng. "Road recognition and motion target tracking based on infrared image." International Journal of Wireless and Mobile Computing 20, no. 2 (2021): 107. http://dx.doi.org/10.1504/ijwmc.2021.114125.

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Meng, Jia Nan, Li Guo Zheng, and Qing Qing Wang. "Road recognition and motion target tracking based on infrared image." International Journal of Wireless and Mobile Computing 20, no. 2 (2021): 107. http://dx.doi.org/10.1504/ijwmc.2021.10036859.

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5

Liu, Jun, Min Liu, Xue Mei Guo, and Guo Li Wang. "Optimal Scalar Quantization for Motion Tracking via Boolean Compressive Infrared Sampling." Applied Mechanics and Materials 148-149 (December 2011): 713–20. http://dx.doi.org/10.4028/www.scientific.net/amm.148-149.713.

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The recently emerged compressive sensing framework aims to acqure signals at reduced sample rates compared to the classical Shannon-Nyquist rate. This paper is concerned with the optimization problem of motion tracking driven by a sort of passive infrared sampling paradigm which springs from compressive sensing framework. In particular, a structured implementation with binary passive infrared sensor node is proposed to acquire the sparse presence state of human motion with resolution of some small cells. To calibrate the cells, a functional scalar quantizer is employed. Its optimization is use
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Xue, Yuanfei. "Tracking System and Its Application in Unmanned Automobile Navigation Based on Sparse Photoelectric Sensor Network." Journal of Nanoelectronics and Optoelectronics 15, no. 7 (2020): 799–809. http://dx.doi.org/10.1166/jno.2020.2806.

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Sensor tracking technology has broad prospects of application in the fields of smart home and environmental protection. The passive motion tracking method of sensor networks can realize the perception of location, temperature and other information without carrying sensor nodes. A sparse network tracking system based on infrared sensor nodes is proposed in this study, which can control the running automobiles with unmanned navigation. On the basis of the theory of diffraction, the way of spreading for wireless received signal strength (RSS) can be divided into "scattered waves" and "diffracted
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Yuan, Sheng-zhi, Xiao-fang Xie, and Hong-zhou Li. "Infrared target tracking based on multi-feature fusion under motion platform." Optoelectronics Letters 5, no. 6 (2009): 459–63. http://dx.doi.org/10.1007/s11801-009-9067-x.

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Luo, Xiao Mu, Dong Hui Liu, Hao Chen, Jia Ming Hong, Tong Liu та Bin Huang. "Efficient Multi-Level Human Motion Tracking Based on Compressive Infrared Sensing Paradigm". Applied Mechanics and Materials 278-280 (січень 2013): 988–93. http://dx.doi.org/10.4028/www.scientific.net/amm.278-280.988.

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Multi-level human motion tracking and analysis is still an open question in person surveillance, especially with constrained computational and communication resources. In this paper, we propose a sensing paradigm which could address this challenge efficiently and effectively. The proposed paradigm mainly includes two components. First, we design a compressive infrared sensing model, which can sample and encode multi-level human motion into low-level sensor data directly, without the mediate process of scene recovery. Second, we employ lightweight data processing algorithms to detect and segment
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Lu, Guang Yue, and Tao Wu. "Structure and Motion Analysis of Intelligent Tracking Car Based on SolidWorks and Arduino." Advanced Materials Research 951 (May 2014): 11–14. http://dx.doi.org/10.4028/www.scientific.net/amr.951.11.

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This paper focuses on the use of infrared reflective photoelectric sensor for an intelligent tracking car which can automaticly recognize feature of routes. Arduino is used to control its motion and enable them to choose the right direction. SolidWorks is also used to model and analyze its motion.
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Wolf, Michael, Patrick Klein, Reiner Engelmohr, Jasmin Erb, and René Gübler. "Data on toothbrushing study comparing infrared-based motion tracking versus video observation." Data in Brief 31 (August 2020): 105867. http://dx.doi.org/10.1016/j.dib.2020.105867.

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11

Kim, Byeong Hak, Alan Lukezic, Jong Hyuk Lee, Ho Min Jung, and Min Young Kim. "Global Motion-Aware Robust Visual Object Tracking for Electro Optical Targeting Systems." Sensors 20, no. 2 (2020): 566. http://dx.doi.org/10.3390/s20020566.

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Although recently developed trackers have shown excellent performance even when tracking fast moving and shape changing objects with variable scale and orientation, the trackers for the electro-optical targeting systems (EOTS) still suffer from abrupt scene changes due to frequent and fast camera motions by pan-tilt motor control or dynamic distortions in field environments. Conventional context aware (CA) and deep learning based trackers have been studied to tackle these problems, but they have the drawbacks of not fully overcoming the problems and dealing with their computational burden. In
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Chen, Yu, Yan Xin Yu, and Ting Zhao. "The Method of Infrared Point Target Detection and Tracking Based on DSP+FPGA." Applied Mechanics and Materials 457-458 (October 2013): 1272–77. http://dx.doi.org/10.4028/www.scientific.net/amm.457-458.1272.

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Accounting for the problems of dynamic infrared point targets are difficult to detect accurately and to track in complex background, the single-frame image background suppression by the high-pass filtering and binary processing. Then it uses unscented Kalman filter (UKF) method to get the predicted target trajectory and achieves a precise target tracking. According to the proposed detection and tracking algorithm of motion infrared point target, this paper designs and implements a system of high speed real-time image processing platform based on DSP+FPGA structure. Test results show that when
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13

Borde, Régis, and Javier García-Pereda. "Impact of Wind Guess on the Tracking of Atmospheric Motion Vectors." Journal of Atmospheric and Oceanic Technology 31, no. 2 (2014): 458–67. http://dx.doi.org/10.1175/jtech-d-13-00105.1.

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Abstract The goal of this paper is to show the impact of the use of the wind guess (WG) in atmospheric motion vector (AMV) extraction schemes. The study has been performed using the Satellite Application Facility on Support to Nowcasting and Very Short Range Forecasting (NWCSAF) High Resolution Winds AMV software. Target box sizes varying from 8 × 8 to 40 × 40 pixels and temporal gaps varying from 5 to 60 min have been considered for two configurations that use WG and do not use the wind guess (NWG) to locate the search area in the tracking process. AMVs have been extracted for four different
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14

Beach, R. D., P. H. Pretorius, Guido Boening, et al. "Feasibility of stereo-infrared tracking to monitor patient motion during cardiac SPECT imaging." IEEE Transactions on Nuclear Science 51, no. 5 (2004): 2693–98. http://dx.doi.org/10.1109/tns.2004.835786.

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15

Chi, Jian-nan, Li-hua Xie, Peng-yun Zhang, Yi-fang Lu, and Guo-sheng Zhang. "Hybrid Particle and Kalman Filtering for Pupil Tracking in Active IR Illumination Gaze Tracking System." Mathematical Problems in Engineering 2014 (2014): 1–17. http://dx.doi.org/10.1155/2014/426234.

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A novel pupil tracking method is proposed by combining particle filtering and Kalman filtering for the fast and accurate detection of pupil target in an active infrared source gaze tracking system. Firstly, we utilize particle filtering to track pupil in synthesis triple-channel color map (STCCM) for the fast detection and develop a comprehensive pupil motion model to conduct and analyze the randomness of pupil motion. Moreover, we built a pupil observational model based on the similarity measurement with generated histogram to improve the credibility of particle weights. Particle filtering ca
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Ryder, Matthew R., Thomas D. Bennett, Chris S. Kelley, Mark D. Frogley, Gianfelice Cinque, and Jin-Chong Tan. "Tracking thermal-induced amorphization of a zeolitic imidazolate framework via synchrotron in situ far-infrared spectroscopy." Chemical Communications 53, no. 52 (2017): 7041–44. http://dx.doi.org/10.1039/c7cc01985h.

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17

Zhang, Ximing, Mingang Wang, and Lin Cao. "Real-Time Thermal Infrared Tracking Based on Collaborative Online and Offline Method." Xibei Gongye Daxue Xuebao/Journal of Northwestern Polytechnical University 36, no. 6 (2018): 1052–58. http://dx.doi.org/10.1051/jnwpu/20183661052.

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Most tracking-by-detection based trackers employ the online model update scheme based on the spatiotemporal consistency of visual cues. In presence of self-deformation, abrupt motion and heavy occlusion, these trackers suffer from different attributes and are prone to drifting. The model based on offline training, namely Siamese networks is invariant when suffering from the attributes. While the tracking speed of the offline method can be slow which is not enough for real-time tracking. In this paper, a novel collaborative tracker which decomposes the tracking task into online and offline mode
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18

Hong, Wei, and Ye Hu. "Target Tracking with Two Passive Infrared Sensors Augmented with Irradiance Ratio." Applied Mechanics and Materials 427-429 (September 2013): 810–15. http://dx.doi.org/10.4028/www.scientific.net/amm.427-429.810.

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In target tracking using the passive infrared sensors, the principle of triangulation distance measurement is normally used as the basic method. However, when the target directions are nearly collinear relative to the baseline, this method merely based on EKF and angle measurements produces poor results. To solve this problem, we propose a target tracking solution based on dual infrared sensors in the cluttered environment. This method is a joint estimation algorithm of target motion state and atmospheric parameter such as the extinction coefficient. The method combines the probability data as
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19

Li, Xiangyang, Rui Wang, Zhe Xu, Lei Pan, and Zhili Zhang. "Data compensation based on the additional feature information for collaborative interactive operation with optical human motion capture system." International Journal of Modeling, Simulation, and Scientific Computing 09, no. 06 (2018): 1850060. http://dx.doi.org/10.1142/s1793962318500605.

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As the effective capture region of optical motion capture system is limited by quantity, installation mode, resolution and focus of infrared cameras, the reflective markers on certain body parts (such as wrists, elbows, etc.) of multi-actual trainees may be obscured when they perform the collaborative interactive operation. To address this issue, motion data compensation method based on the additional feature information provided by the electromagnetic spatial position tracking equipment is proposed in this paper. The main working principle and detailed realization process of the proposed meth
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20

Cutolo, Fabrizio, Virginia Mamone, Nicola Carbonaro, Vincenzo Ferrari, and Alessandro Tognetti. "Ambiguity-Free Optical–Inertial Tracking for Augmented Reality Headsets." Sensors 20, no. 5 (2020): 1444. http://dx.doi.org/10.3390/s20051444.

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The increasing capability of computing power and mobile graphics has made possible the release of self-contained augmented reality (AR) headsets featuring efficient head-anchored tracking solutions. Ego motion estimation based on well-established infrared tracking of markers ensures sufficient accuracy and robustness. Unfortunately, wearable visible-light stereo cameras with short baseline and operating under uncontrolled lighting conditions suffer from tracking failures and ambiguities in pose estimation. To improve the accuracy of optical self-tracking and its resiliency to marker occlusions
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21

Adhikari, Deepak, and Ellen K. Longmire. "Infrared tomographic PIV and 3D motion tracking system applied to aquatic predator–prey interaction." Measurement Science and Technology 24, no. 2 (2012): 024011. http://dx.doi.org/10.1088/0957-0233/24/2/024011.

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22

Mansouri, Saeed, Farzam Farahmand, Gholamreza Vossoughi, Alireza Alizadeh Ghavidel, and Mostafa Rezayat. "Feasibility of infrared tracking of beating heart motion for robotic assisted beating heart surgery." International Journal of Medical Robotics and Computer Assisted Surgery 14, no. 1 (2017): e1869. http://dx.doi.org/10.1002/rcs.1869.

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23

Alathari, Bashar, Mohammed Falih Kadhim, Salam Al-Khammasi, and Nabeel Salih Ali. "A framework implementation of surveillance tracking system based on PIR motion sensors." Indonesian Journal of Electrical Engineering and Computer Science 13, no. 1 (2019): 235. http://dx.doi.org/10.11591/ijeecs.v13.i1.pp235-242.

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A motion tracking system made from affordable hardware components is implemented to be used inside the University of Kufa (UoK) buildings to track and detect any suspicious activities. The current research objectives are to automatically monitor, track intruders using sensors, servo, and camera that occurs around the system using Arduino microcontroller. The mounted camera track, capture the moving object and sending a live broadcast to a receiving host which could be a desktop computer, laptop, tablet or a smartphone. In this study, we consider the problem of automated position estimation usi
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Abbas, Ghulam, and Ceri Diss. "Patellar Tracking during the Gait Cycle." Journal of Orthopaedic Surgery 19, no. 3 (2011): 288–91. http://dx.doi.org/10.1177/230949901101900305.

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Purpose. To assess normal patellar tracking during walking using the 9-camera infrared system. Methods. Four men and 6 women aged 25 to 33 (mean, 29) years each performed 16 walking trials on one occasion. They had prominent patellae with minimal soft tissues (minimising skin artefacts), and their knees and lower limbs were normal and symmetrical. 12 retro-reflective markers (2.5 cm in diameter) were taped to anatomic landmarks of the lower body. Two additional markers (1.4 cm in diameter) were first placed on the medial and lateral points and then proximal and distal points of the patella. Pa
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Perpetuini, David, Daniela Cardone, Chiara Filippini, Antonio Maria Chiarelli, and Arcangelo Merla. "A Motion Artifact Correction Procedure for fNIRS Signals Based on Wavelet Transform and Infrared Thermography Video Tracking." Sensors 21, no. 15 (2021): 5117. http://dx.doi.org/10.3390/s21155117.

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Functional near infrared spectroscopy (fNIRS) is a neuroimaging technique that allows to monitor the functional hemoglobin oscillations related to cortical activity. One of the main issues related to fNIRS applications is the motion artefact removal, since a corrupted physiological signal is not correctly indicative of the underlying biological process. A novel procedure for motion artifact correction for fNIRS signals based on wavelet transform and video tracking developed for infrared thermography (IRT) is presented. In detail, fNIRS and IRT were concurrently recorded and the optodes’ moveme
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Al Fadli, Muhammad Hanifudin, Dadang Gunawan, Romie Oktovianus Bura, and Larasmoyo Nugroho. "DESIGN AND IMPLEMENTATION OF ANTI-TANK GUIDED-MISSILE (ATGM) CONTROL SYSTEM USING SEMI-AUTOMATIC COMMAND LINE OF SIGHT (SACLOS) METHOD BASED ON DIGITAL IMAGE PROCESSING." Jurnal Pertahanan: Media Informasi ttg Kajian & Strategi Pertahanan yang Mengedepankan Identity, Nasionalism & Integrity 7, no. 2 (2021): 217. http://dx.doi.org/10.33172/jp.v7i2.755.

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<div><p class="Els-history-head">The Anti-Tank Guided-Missile (ATGM) system has a very important role in the modern battlefield. This system proved its effectiveness in many modern conflicts such as the Syrian Civil War and Nagorno-Karabakh War. The ATGM system has a very simple electronic and mechanism but it has a very high level of accuracy and precision. One of the control methods used in ATGM is SACLOS method. This method tracks missile position by detecting an infrared lamp that is placed on the missile tail. The tracking system sends control signals to the missile as a resul
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Ben Salah, Mohamed, and Amar Mitiche. "Model-Free, Occlusion Accommodating Active Contour Tracking." ISRN Artificial Intelligence 2012 (October 22, 2012): 1–15. http://dx.doi.org/10.5402/2012/672084.

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This study investigates tracking in monocular image sequences by a model-free, occlusion accommodating active contour method. The objective functional contains a model-free shape tracking term to constrain the active curve in a frame to have a shape which approximates as closely as possible the shape of the active curve in the preceding frame. It complements a kernel photometric tracking term which constrains the active curve in a frame to enclose an intensity profile that matches as closely as possible the profile within the curve in the preceding frame. This data term is in kernel form so as
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Schlüter, Matthias, Lukas Glandorf, Martin Gromniak, Thore Saathoff, and Alexander Schlaefer. "Concept for Markerless 6D Tracking Employing Volumetric Optical Coherence Tomography." Sensors 20, no. 9 (2020): 2678. http://dx.doi.org/10.3390/s20092678.

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Optical tracking systems are widely used, for example, to navigate medical interventions. Typically, they require the presence of known geometrical structures, the placement of artificial markers, or a prominent texture on the target’s surface. In this work, we propose a 6D tracking approach employing volumetric optical coherence tomography (OCT) images. OCT has a micrometer-scale resolution and employs near-infrared light to penetrate few millimeters into, for example, tissue. Thereby, it provides sub-surface information which we use to track arbitrary targets, even with poorly structured sur
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Brousseau, Braiden, Jonathan Rose, and Moshe Eizenman. "Hybrid Eye-Tracking on a Smartphone with CNN Feature Extraction and an Infrared 3D Model." Sensors 20, no. 2 (2020): 543. http://dx.doi.org/10.3390/s20020543.

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This paper describes a low-cost, robust, and accurate remote eye-tracking system that uses an industrial prototype smartphone with integrated infrared illumination and camera. Numerous studies have demonstrated the beneficial use of eye-tracking in domains such as neurological and neuropsychiatric testing, advertising evaluation, pilot training, and automotive safety. Remote eye-tracking on a smartphone could enable the significant growth in the deployment of applications in these domains. Our system uses a 3D gaze-estimation model that enables accurate point-of-gaze (PoG) estimation with free
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Yousefi, Bardia, Hossein Memarzadeh Sharifipour, Mana Eskandari, et al. "Incremental Low Rank Noise Reduction for Robust Infrared Tracking of Body Temperature during Medical Imaging." Electronics 8, no. 11 (2019): 1301. http://dx.doi.org/10.3390/electronics8111301.

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Thermal imagery for monitoring of body temperature provides a powerful tool to decrease health risks (e.g., burning) for patients during medical imaging (e.g., magnetic resonance imaging). The presented approach discusses an experiment to simulate radiology conditions with infrared imaging along with an automatic thermal monitoring/tracking system. The thermal tracking system uses an incremental low-rank noise reduction applying incremental singular value decomposition (SVD) and applies color based clustering for initialization of the region of interest (ROI) boundary. Then a particle filter t
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31

Wang, Ji Hui, and En Chang Cui. "The Design of a Multifunctional Remote-Control Intelligent Vehicle Based on STC89C52." Applied Mechanics and Materials 789-790 (September 2015): 754–57. http://dx.doi.org/10.4028/www.scientific.net/amm.789-790.754.

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The kind of intelligent tracking vehicle is designed by STC89C52 as the main control chip, combined with DC motors, multiple infrared sensors, Bluetooth remote control, and other peripheral circuits. The intelligent vehicle can walk along black trajectory. Its speed can be monitored and its state of motion can be changed by remote control. The experiment shows the entire body design is sensitive, accurate control, system stability, and achieves the desired objectives.
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MacDonald, R. Lee, Young Lee, Jannie Schasfoort, Hany Soliman, Arjun Sahgal, and Mark Ruschin. "Real-Time Infrared Motion Tracking Analysis for Patients Treated With Gated Frameless Image Guided Stereotactic Radiosurgery." International Journal of Radiation Oncology*Biology*Physics 106, no. 2 (2020): 413–21. http://dx.doi.org/10.1016/j.ijrobp.2019.10.030.

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33

Carr, James L., Dong L. Wu, Jaime Daniels, Mariel D. Friberg, Wayne Bresky, and Houria Madani. "GEO–GEO Stereo-Tracking of Atmospheric Motion Vectors (AMVs) from the Geostationary Ring." Remote Sensing 12, no. 22 (2020): 3779. http://dx.doi.org/10.3390/rs12223779.

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Height assignment is an important problem for satellite measurements of atmospheric motion vectors (AMVs) that are interpreted as winds by forecast and assimilation systems. Stereo methods assign heights to AMVs from the parallax observed between observations from different vantage points in orbit while tracking cloud or moisture features. In this paper, we fully develop the stereo method to jointly retrieve wind vectors with their geometric heights from geostationary satellite pairs. Synchronization of observations between observing systems is not required. NASA and NOAA stereo-winds codes ha
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Santek, David, Sharon Nebuda, and Dave Stettner. "Demonstration and Evaluation of 3D Winds Generated by Tracking Features in Moisture and Ozone Fields Derived from AIRS Sounding Retrievals." Remote Sensing 11, no. 22 (2019): 2597. http://dx.doi.org/10.3390/rs11222597.

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For more than 15 years, polar winds from the Moderate Resolution Imaging Spectroradiometer (MODIS) imagery have been generated by the National Oceanic and Atmospheric Administration (NOAA) and the Cooperative Institute for Meteorological Satellite Studies (CIMSS). These datasets are a NOAA National Environmental Satellite, Data, and Information Service (NESDIS) operational satellite product that is used at more than 10 major numerical weather prediction (NWP) centers worldwide. The MODIS polar winds product is composed of both infrared window (IR-W) and water vapor (WV) tracked features. The W
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Silva, M. L., and G. Ravichandran. "Combined thermoelastic stress analysis and digital image correlation with a single infrared camera." Journal of Strain Analysis for Engineering Design 46, no. 8 (2011): 783–93. http://dx.doi.org/10.1177/0309324711418286.

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A novel methodology simultaneously combining thermoelastic stress analysis (TSA) and digital image correlation (DIC) with a single infrared camera is presented. DIC is an optical method to determine deformation by image tracking with strains determined via differentiation. TSA is a non-contact measurement technique that provides the full-field stress directly using measured temperature changes. The combination of the two techniques improves the resolution and accuracy of TSA results by correcting for sample motion and distortion during loading. Illustrative examples, including an aluminium all
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Posselt, Derek J., Longtao Wu, Kevin Mueller, et al. "Quantitative Assessment of State-Dependent Atmospheric Motion Vector Uncertainties." Journal of Applied Meteorology and Climatology 58, no. 11 (2019): 2479–95. http://dx.doi.org/10.1175/jamc-d-19-0166.1.

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AbstractThis study examines the error characteristics of atmospheric motion vectors (AMVs) obtained by tracking the movement of water vapor features. A high-resolution numerical simulation of a dynamic weather event is used as a baseline, and AMVs tracked from retrieved water vapor fields are compared with the “true” winds produced by the model. The sensitivity of AMV uncertainty to time interval, AMV tracking window size, water vapor content, horizontal gradient, and wind structure is examined. AMVs are derived from the model water vapor field at a specific height and also from water vapor fi
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Abdul-Ameer, Hussam K., Luma Issa Abdul-Kreem, Huda Adnan, and Zahra Sami. "A Haptic feedback system based on leap motion controller for prosthetic hand application." International Journal of Electrical and Computer Engineering (IJECE) 10, no. 6 (2020): 5772. http://dx.doi.org/10.11591/ijece.v10i6.pp5772-5778.

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Leap Motion Controller (LMC) is a gesture sensor consists of three infrared light emitters and two infrared stereo cameras as tracking sensors. LMC translates hand movements into graphical data that are used in a variety of applications such as virtual/augmented reality and object movements control. In this work, we intend to control the movements of a prosthetic hand via (LMC) in which fingers are flexed or extended in response to hand movements. This will be carried out by passing in the data from the Leap Motion to a processing unit that processes the raw data by an open-source package (Pro
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Jimenez-Pinto, J., and M. Torres-Torriti. "Face salient points and eyes tracking for robust drowsiness detection." Robotica 30, no. 5 (2011): 731–41. http://dx.doi.org/10.1017/s0263574711000749.

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SUMMARYMeasuring a driver's level of attention and drowsiness is fundamental to reducing the number of traffic accidents that often involve bus and truck drivers, who must work for long periods of time under monotonous road conditions. Determining a driver's state of alert in a noninvasive way can be achieved using computer vision techniques. However, two main difficulties must be solved in order to measure drowsiness in a robust way: first, detecting the driver's face location despite variations in pose or illumination; secondly, recognizing the driver's facial cues, such as blinks, yawns, an
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Blauberger, Patrick, Robert Marzilger, and Martin Lames. "Validation of Player and Ball Tracking with a Local Positioning System." Sensors 21, no. 4 (2021): 1465. http://dx.doi.org/10.3390/s21041465.

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The aim of this study was the validation of player and ball position measurements of Kinexon’s local positioning system (LPS) in handball and football. Eight athletes conducted a sport-specific course (SSC) and small sided football games (SSG), simultaneously tracked by the LPS and an infrared camera-based motion capture system as reference system. Furthermore, football shots and handball throws were performed to evaluate ball tracking. The position root mean square error (RMSE) for player tracking was 9 cm for SSCs, the instantaneous peak speed showed a percentage deviation from the reference
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Abraham, Lizy, Andrea Urru, Niccolò Normani, Mariusz Wilk, Michael Walsh, and Brendan O’Flynn. "Hand Tracking and Gesture Recognition Using Lensless Smart Sensors." Sensors 18, no. 9 (2018): 2834. http://dx.doi.org/10.3390/s18092834.

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The Lensless Smart Sensor (LSS) developed by Rambus, Inc. is a low-power, low-cost visual sensing technology that captures information-rich optical data in a tiny form factor using a novel approach to optical sensing. The spiral gratings of LSS diffractive grating, coupled with sophisticated computational algorithms, allow point tracking down to millimeter-level accuracy. This work is focused on developing novel algorithms for the detection of multiple points and thereby enabling hand tracking and gesture recognition using the LSS. The algorithms are formulated based on geometrical and mathema
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Zhang, Jun, Guangchen Jia, Sibanda Gibson Mkumbuzi, and Yu Wu. "Dynamic Aerothermal Analysis of a Cone-Cylinder Flight Body." International Journal of Aerospace Engineering 2020 (July 21, 2020): 1–10. http://dx.doi.org/10.1155/2020/2813856.

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Exploring the aerothermal characteristic of a flight body has great military applications in tracking, locating, thermal protection, and infrared stealth technologies. Available studies are mostly focused on the transient aerothermal characteristics of vehicles in some specific flight datum, which are not able to satisfy the requirements in real-time tracking for an infrared system. This paper probes into a method of dynamic thermal analysis of a cone-cylinder flight body with a high spinning speed. Firstly, a theoretical model for analyzing the dynamic aerothermal characteristics is establish
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Behrangi, Ali, Bisher Imam, Kuolin Hsu, Soroosh Sorooshian, Timothy J. Bellerby, and George J. Huffman. "REFAME: Rain Estimation Using Forward-Adjusted Advection of Microwave Estimates." Journal of Hydrometeorology 11, no. 6 (2010): 1305–21. http://dx.doi.org/10.1175/2010jhm1248.1.

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Abstract A new multiplatform multisensor satellite rainfall estimation technique is proposed in which sequences of Geostationary Earth Orbit infrared (GEO-IR) images are used to advect microwave (MW)-derived precipitation estimates along cloud motion streamlines and to further adjust the rainfall rates using local cloud classification. The main objective of the Rain Estimation using Forward-Adjusted advection of Microwave Estimates (REFAME) is to investigate whether inclusion of GEO-IR information can help to improve the advected MW precipitation rate as it gets farther in time from the previo
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Ping, Ung Eng, and S. Parasuraman. "Modeling of Wrist and Hand Motion while Performing Functional Task." Advanced Materials Research 433-440 (January 2012): 2316–20. http://dx.doi.org/10.4028/www.scientific.net/amr.433-440.2316.

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A large prescriptive data set of wrist, metacarpal arch fingers and thumb movements has been collected using twenty-four 4mm hemispherical passive reflective markers placed on the wrist, hand and fingers. Movements of each participant were captured by a set of 6-camera infrared motion analysis system (QUALISYS) sampling at 60Hz while undertaking a clinical hand function assessment, the Southampton Hand Assessment Procedure (SHAP). Without Muscle Contraction and With Muscle Contraction versions of objects are assessed and were tested, characteristics of individual movement strategies presented
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Chen, Tuochao, Yaxuan Li, Songyun Tao, et al. "NeckFace." Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies 5, no. 2 (2021): 1–31. http://dx.doi.org/10.1145/3463511.

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Facial expressions are highly informative for computers to understand and interpret a person's mental and physical activities. However, continuously tracking facial expressions, especially when the user is in motion, is challenging. This paper presents NeckFace, a wearable sensing technology that can continuously track the full facial expressions using a neck-piece embedded with infrared (IR) cameras. A customized deep learning pipeline called NeckNet based on Resnet34 is developed to learn the captured infrared (IR) images of the chin and face and output 52 parameters representing the facial
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Chinthammit, Winyu, Eric J. Seibel, and Thomas A. Furness. "A Shared-Aperture Tracking Display for Augmented Reality." Presence: Teleoperators and Virtual Environments 12, no. 1 (2003): 1–18. http://dx.doi.org/10.1162/105474603763835305.

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The operation and performance of a six degree-of-freedom (DOF) shared-aperture tracking system with image overlay is described. This unique tracking technology shares the same aperture or scanned optical beam with the visual display, virtual retinal display (VRD). This display technology provides high brightness in an AR helmet-mounted display, especially in the extreme environment of a military cockpit. The VRD generates an image by optically scanning visible light directly to the viewer's eye. By scanning both visible and infrared light, the head-worn display can be directly coupled to a hea
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Yeom, Seokwon. "Moving People Tracking and False Track Removing with Infrared Thermal Imaging by a Multirotor." Drones 5, no. 3 (2021): 65. http://dx.doi.org/10.3390/drones5030065.

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Infrared (IR) thermal imaging can detect the warm temperature of the human body regardless of the light conditions, thus small drones equipped with the IR thermal camera can be utilized to recognize human activity for smart surveillance, road safety, and search and rescue missions. However, the unpredictable motion of the drone poses more challenges than a fixed camera. This paper addresses the detection and tracking of people through IR thermal video captured by a multirotor. For object detection, each frame is first registered with a reference frame to compensate for its coordinates. Then, t
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Ma, Junwei, Xiaoxu Niu, Xiao Liu, Yankun Wang, Tao Wen, and Junrong Zhang. "Thermal Infrared Imagery Integrated with Terrestrial Laser Scanning and Particle Tracking Velocimetry for Characterization of Landslide Model Failure." Sensors 20, no. 1 (2019): 219. http://dx.doi.org/10.3390/s20010219.

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A laboratory model test is an effective method for studying landslide risk mitigation. In this study, thermal infrared (TIR) imagery, a modern no-contact technique, was introduced and integrated with terrestrial laser scanning (TLS) and particle tracking velocimetry (PTV) to characterize the failure of a landslide model. The characteristics of the failure initiation, motion, and region of interest, including landslide volume, deformation, velocity, surface temperature changes, and anomalies, were detected using the integrated monitoring system. The laboratory test results indicate that the int
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MacIver, M. A., N. M. Sharabash, and M. E. Nelson. "Prey-capture behavior in gymnotid electric fish: motion analysis and effects of water conductivity." Journal of Experimental Biology 204, no. 3 (2001): 543–57. http://dx.doi.org/10.1242/jeb.204.3.543.

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Animals can actively influence the content and quality of sensory information they acquire from the environment through the positioning of peripheral sensory surfaces. This study investigated receptor surface positioning during prey-capture behavior in weakly electric gymnotiform fish of the genus Apteronotus. Infrared video techniques and three-dimensional model-based tracking methods were used to provide quantitative information on body position and conformation as black ghost (A. albifrons) and brown ghost (A. leptorhynchus) knifefish hunted for prey (Daphnia magna) in the dark. We found th
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Whalen, D. H., Khalil Iskarous, Mark K. Tiede, et al. "The Haskins Optically Corrected Ultrasound System (HOCUS)." Journal of Speech, Language, and Hearing Research 48, no. 3 (2005): 543–53. http://dx.doi.org/10.1044/1092-4388(2005/037).

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The tongue is critical in the production of speech, yet its nature has made it difficult to measure. Not only does its ability to attain complex shapes make it difficult to track, it is also largely hidden from view during speech. The present article describes a new combination of optical tracking and ultrasound imaging that allows for a noninvasive, real-time view of most of the tongue surface during running speech. The optical system (Optotrak) tracks the location of external structures in 3-dimensional space using infrared emitting diodes (IREDs). By tracking 3 or more IREDs on the head and
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GUIDI, G., N. MAFFEI, A. CIARMATORI, et al. "REAL-TIME LUNG TUMOUR MOTION MODELING FOR ADAPTIVE RADIATION THERAPY USING LEGO MINDSTORMS." Journal of Mechanics in Medicine and Biology 15, no. 02 (2015): 1540019. http://dx.doi.org/10.1142/s0219519415400199.

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An anthropomorphic phantom was built using LEGO Mindstorms® and programmed in LabVIEW® for Adaptive Radiation Therapy (ART) purpose, to simulate the processes of breathing in the lung district during treatments. A thoracic cavity is prototyped by means of an 8 ribs apparatus and 2 artificial tumor masses, driven by intelligent brick LINUX® OS CPU. An optical surface tracking system (VisionRT®) and a QUASAR™ phantom allow correlation between physiological, robotic motion and surrogated signal. Patient's breathing phases are acquired instantaneously by InfraRed/UltraSound sensors. Through 4DCT i
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