Relevant bibliographies by topics / Infrared motion tracking

Contents

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

Academic literature on the topic 'Infrared motion tracking'

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

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Journal articles on the topic "Infrared motion tracking"

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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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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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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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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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Dissertations / Theses on the topic "Infrared motion tracking"

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O-larnnithipong, Nonnarit. "Hand Motion Tracking System using Inertial Measurement Units and Infrared Cameras." FIU Digital Commons, 2018. https://digitalcommons.fiu.edu/etd/3905.

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This dissertation presents a novel approach to develop a system for real-time tracking of the position and orientation of the human hand in three-dimensional space, using MEMS inertial measurement units (IMUs) and infrared cameras. This research focuses on the study and implementation of an algorithm to correct the gyroscope drift, which is a major problem in orientation tracking using commercial-grade IMUs. An algorithm to improve the orientation estimation is proposed. It consists of: 1.) Prediction of the bias offset error while the sensor is static, 2.) Estimation of a quaternion orientati
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WEI, LAI. "Birds/Bats Motion Tracking with Infrared Radiation Camera for Wind Farm Applications." University of Toledo / OhioLINK, 2012. http://rave.ohiolink.edu/etdc/view?acc_num=toledo1345134075.

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Akimoto, Mami. "Predictive uncertainty in infrared marker-based dynamic tumor tracking with Vero4DRT." Kyoto University, 2015. http://hdl.handle.net/2433/199176.

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Rivas, Diaz Juan Manuel. "Model-based object tracking with an infrared stereo camera." Thesis, Örebro universitet, Institutionen för naturvetenskap och teknik, 2015. http://urn.kb.se/resolve?urn=urn:nbn:se:oru:diva-45442.

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Object tracking has become really important in the field of robotics in the last years. Frequently, the goal is to obtain the trajectory of the tracked target over time and space by acquiring and processing information from the sensors. In this thesis we are interested in tracking objects at a very short range. The primary application of our approach is targeting the domain of object tracking during grasp execution with a hand-in-eye sensor setup. To this end, a promising approach investigated in this work is based on the Leap Motion sensor, which is designed for tracking human hands. However,
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Willis, Karl D. D. "Ubiquitous Projection: New Interfaces using Mobile Projectors." Research Showcase @ CMU, 2013. http://repository.cmu.edu/dissertations/216.

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The miniaturization of projection technology has enabled a new class of lightweight mobile devices with embedded projectors. Projection engines as small as a postage stamp are currently being embedded in thousands of mobile devices. Mobile projector-based devices differ in very fundamental ways from the display-based devices we commonly use. Mobile projectors can be carried with the user and project imagery into almost any space, projected content is visible to multiple users and supports social interaction, physical objects and surfaces can be augmented with projected content, and embedded pr
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McMeeking, Anne Catherine. "Synaisthe : an investigation of media integration in devised performance." Thesis, 2011. http://hdl.handle.net/2152/ETD-UT-2011-05-3419.

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Synaisthe is an intermedia dance performance that premiered in March 2011 at the University Co-op Presents the Cohen New Works Festival, at the University of Texas at Austin. The context of Synaisthe is two-fold. In one aspect, the work lives in the world of theatrical design, emerging technologies, storytelling practices, and performance theory. In its subject matter, Synaisthe is in conversation with cognitive science, neurology, human perception, and the exploration of individual experience. This event, driven by a technology centered devising process, included; dance, a live band, an i
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Books on the topic "Infrared motion tracking"

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Powell, J. David. Space infrared telescope pointing control system: Infrared telescope tracking in the presence of target motion : final report. Guidance and Control Laboratory, Dept. of Aeronautics and Astronautics, Stanford University, 1986.

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Book chapters on the topic "Infrared motion tracking"

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Dorfmüller, Klaus, and Hanno Wirth. "Real-Time Hand and Head Tracking for Virtual Environments Using Infrared Beacons." In Modelling and Motion Capture Techniques for Virtual Environments. Springer Berlin Heidelberg, 1998. http://dx.doi.org/10.1007/3-540-49384-0_9.

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Guo, Shuxiang, and Liwei Shi. "A Real-Time Compressive Tracking System for Amphibious Spherical Robots." In Handbook of Research on Biomimetics and Biomedical Robotics. IGI Global, 2018. http://dx.doi.org/10.4018/978-1-5225-2993-4.ch017.

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Given the special working environments and application functions of the amphibious robot, an improved RGB-D visual tracking algorithm with dual trackers is proposed and implemented in this chapter. Compressive tracking (CT) was selected as the basis of the proposed algorithm to process colour images from a RGB-D camera, and a Kalman filter with a second-order motion model was added to the CT tracker to predict the state of the target, select candidate patches or samples, and reinforce the tracker's robustness to high-speed moving targets. In addition, a variance ratio features shift (VR-V) tracker with a Kalman prediction mechanism was adopted to process depth images from a RGB-D camera. A visible and infrared fusion mechanism or feedback strategy is introduced in the proposed algorithm to enhance its adaptability and robustness. To evaluate the effectiveness of the algorithm, Microsoft Kinect, which is a combination of colour and depth cameras, was adopted for use in a prototype of the robotic tracking system.
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Conference papers on the topic "Infrared motion tracking"

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Liu, Jun, Xuemei Guo, Min Liu, and Guoli Wang. "Motion Tracking Based on Boolean Compressive Infrared Sampling." In 2010 IEEE 16th International Conference on Parallel and Distributed Systems (ICPADS). IEEE, 2010. http://dx.doi.org/10.1109/icpads.2010.126.

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Odeh, Salaheddin, Mahasen Anabtawi, and Sari El-Alem. "Low-cost infrared interaction device based on motion tracking." In MELECON 2012 - 2012 16th IEEE Mediterranean Electrotechnical Conference. IEEE, 2012. http://dx.doi.org/10.1109/melcon.2012.6196394.

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Fablet, Ronan, Philippe Rostaing, and Christophe Collet. "Motion segmentation and cloud tracking on noisy infrared image sequences." In Electronic Imaging '99, edited by Kiyoharu Aizawa, Robert L. Stevenson, and Ya-Qin Zhang. SPIE, 1998. http://dx.doi.org/10.1117/12.334635.

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Thomas, David, Ishwar K. Sethi, and Vali Salari. "Motion Filtering For Target Extraction And Tracking In Infrared Images." In 1988 Technical Symposium on Optics, Electro-Optics, and Sensors, edited by Mohan M. Trivedi. SPIE, 1988. http://dx.doi.org/10.1117/12.947014.

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Peller, Dominik, Tyler L. Cocker, Ping Yu, Jascha Repp, and Rupert Huber. "Tracking the ultrafast motion of a single molecular orbital." In 2016 41st International Conference on Infrared, Millimeter, and Terahertz waves (IRMMW-THz). IEEE, 2016. http://dx.doi.org/10.1109/irmmw-thz.2016.7758414.

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Song, Byunghun, Haksoo Choi, and Hyung Su Lee. "Surveillance Tracking System Using Passive Infrared Motion Sensors in Wireless Sensor Network." In 2008 International Conference on Information Networking. IEEE, 2008. http://dx.doi.org/10.1109/icoin.2008.4472790.

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Zhang, Xiaohua, and Bo Huang. "Motion Tracking of Intelligent Surveillance based on Machine Vision and Infrared Spectroscopy." In 3rd Workshop on Advanced Research and Technology in Industry (WARTIA 2017). Atlantis Press, 2017. http://dx.doi.org/10.2991/wartia-17.2017.75.

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Beach, R. D., P. H. Pretorius, G. Boening, et al. "Feasibility of stereo-infrared tracking to monitor patient motion during cardiac SPECT imaging." In 2003 IEEE Nuclear Science Symposium. Conference Record (IEEE Cat. No.03CH37515). IEEE, 2003. http://dx.doi.org/10.1109/nssmic.2003.1352304.

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Xiaohu Lv and Yongxin Liu. "Design of human motion detection and tracking robot based on pyroelectric infrared sensor." In 2010 8th World Congress on Intelligent Control and Automation (WCICA 2010). IEEE, 2010. http://dx.doi.org/10.1109/wcica.2010.5555026.

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Cheng, Tze-Yuan, and Cila Herman. "Involuntary motion tracking for medical dynamic infrared thermography using a template-based algorithm." In SPIE Medical Imaging, edited by Sebastien Ourselin and David R. Haynor. SPIE, 2013. http://dx.doi.org/10.1117/12.2000569.

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