Literatura académica sobre el tema "TRACKING HUMAN BODY"
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Artículos de revistas sobre el tema "TRACKING HUMAN BODY"
Zhang, Gang, Bin Ouyang, Lu Ming Yu y Lei Zhang. "Research of Human Body Detection and Tracking Algorithm". Advanced Materials Research 791-793 (septiembre de 2013): 1023–27. http://dx.doi.org/10.4028/www.scientific.net/amr.791-793.1023.
Texto completoWren, C. R., A. Azarbayejani, T. Darrell y A. P. Pentland. "Pfinder: real-time tracking of the human body". IEEE Transactions on Pattern Analysis and Machine Intelligence 19, n.º 7 (julio de 1997): 780–85. http://dx.doi.org/10.1109/34.598236.
Texto completoJang, Dae-Sik, Seok-Woo Jang y Hyung-Il Choi. "2D human body tracking with Structural Kalman filter". Pattern Recognition 35, n.º 10 (octubre de 2002): 2041–49. http://dx.doi.org/10.1016/s0031-3203(01)00201-1.
Texto completoYu, Jie, FengLi Zhang, Jian Xiong y GuoCheng Yang. "A Robust Real-Time Human Body Fuzzy Tracking Based Face Tracking Algorithm". Journal of Computational and Theoretical Nanoscience 12, n.º 12 (1 de diciembre de 2015): 5728–38. http://dx.doi.org/10.1166/jctn.2015.4709.
Texto completoWang, Jun Jie. "The Visual Simulation Analysis of Human Body Movement Model". Applied Mechanics and Materials 556-562 (mayo de 2014): 3913–16. http://dx.doi.org/10.4028/www.scientific.net/amm.556-562.3913.
Texto completoPolat, Ediz, Mohammed Yeasin y Rajeev Sharma. "Robust tracking of human body parts for collaborative human computer interaction". Computer Vision and Image Understanding 89, n.º 1 (enero de 2003): 44–69. http://dx.doi.org/10.1016/s1077-3142(02)00031-0.
Texto completoKHONGKRAPHAN, Kittiya y Pakorn KAEWTRAKULPONG. "Efficient Human Body Tracking by Quick Shift Belief Propagation". IEICE Transactions on Information and Systems E94-D, n.º 4 (2011): 905–12. http://dx.doi.org/10.1587/transinf.e94.d.905.
Texto completoZhou, Yi. "Bayesian variational human tracking based on informative body parts". Optical Engineering 51, n.º 6 (5 de junio de 2012): 067203. http://dx.doi.org/10.1117/1.oe.51.6.067203.
Texto completoHerda, L., R. Urtasun y P. Fua. "Hierarchical implicit surface joint limits for human body tracking". Computer Vision and Image Understanding 99, n.º 2 (agosto de 2005): 189–209. http://dx.doi.org/10.1016/j.cviu.2005.01.005.
Texto completoCao, Xiao-Qin y Zhi-Qiang Liu. "Sequential Markov random fields for human body parts tracking". Multimedia Tools and Applications 74, n.º 17 (14 de mayo de 2014): 6671–90. http://dx.doi.org/10.1007/s11042-014-1924-3.
Texto completoTesis sobre el tema "TRACKING HUMAN BODY"
Topcu, Hasan Huseyin. "Human Body Part Detection And Multi-human Tracking Insurveillance Videos". Master's thesis, METU, 2012. http://etd.lib.metu.edu.tr/upload/12614308/index.pdf.
Texto completoWren, Christopher R. (Christopher Richard). "Pfinder : real-time tracking of the human body". Thesis, Massachusetts Institute of Technology, 1996. http://hdl.handle.net/1721.1/10652.
Texto completoBao, Guanqun. "On Simultaneous Localization and Mapping inside the Human Body (Body-SLAM)". Digital WPI, 2014. https://digitalcommons.wpi.edu/etd-dissertations/206.
Texto completoZhang, Qing. "HIGH QUALITY HUMAN 3D BODY MODELING, TRACKING AND APPLICATION". UKnowledge, 2015. http://uknowledge.uky.edu/cs_etds/39.
Texto completoRenna, I. "Upper body tracking and Gesture recognition for Human-Machine Interaction". Phd thesis, Université Pierre et Marie Curie - Paris VI, 2012. http://tel.archives-ouvertes.fr/tel-00717443.
Texto completoRenna, Ilaria. "Upper body tracking and Gesture recognition for Human-Machine Interaction". Paris 6, 2012. http://www.theses.fr/2012PA066119.
Texto completoRobots are artificial agents that can act in humans’ world thanks to perception, action and reasoning capacities. In particular, robots companion are designed to share with humans the same physical and communication spaces in performing daily life collaborative tasks and aids. In such a context, interactions between humans and robots are expected to be as natural and as intuitive as possible. One of the most natural ways is based on gestures and reactive body motions. To make this friendly interaction possible, a robot companion has to be endowed with one or more capabilities allowing him to perceive, to recognize and to react to human gestures. This PhD thesis has been focused on the design and the development of a gesture recognition system that can be exploited in a human-robot interaction context. This system includes (1) a limbs-tracking algorithm that determines human body position during movements and (2) a higher-level module that recognizes gestures performed by human users. New contributions were made in both topics. First, a new approach is proposed for visual tracking of upper-body limbs. Analysing human body motion is challenging, due to the important number of degrees of freedom of the articulated object modelling the upper body. To circumvent the computational complexity, each limb is tracked with an Annealed Particle Filter and the different filters interact through Belief Propagation. 3D human body is described as a graphical model in which the relationships between the body parts are represented by conditional probability distributions. Pose estimation problem is thus formulated as a probabilistic inference over a graphical model, where the random variables correspond to the individual limb parameters (position and orientation) and Belief Propagation messages ensure coherence between limbs. Secondly, we propose a framework allowing emblematic gestures detection and recognition. The most challenging issue in gesture recognition is to find good features with a discriminant power (to distinguish between different gestures) and a good robustness to intrinsic gestures variability (the context in which gestures are expressed, the morphology of the person, the point of view, etc. ). In this work, we propose a new arm's kinematics normalization scheme reflecting both the muscular activity and arm's appearance when a gesture is performed. The obtained signals are first segmented and then analysed by two machine learning techniques: Hidden Markov Models and Support Vector Machines. The two methods are compared in a 5 classes emblematic gestures recognition task. Both systems show good performances with a minimalistic training database regardless to performer's anthropometry, gender, age or pose with regard to the sensing system. The work presented here has been done within the framework of a PhD thesis in joint supervision between the “Pierre et Marie Curie” University (ISIR laboratory, Paris) and the University of Genova (IIT--Tera department) and was labelled by the French-Italian University
Lu, Yao. "Human body tracking and pose estimation from monocular image sequences". Thesis, Curtin University, 2013. http://hdl.handle.net/20.500.11937/1665.
Texto completoAzhar, Faisal. "Marker-less human body part detection, labelling and tracking for human activity recognition". Thesis, University of Warwick, 2015. http://wrap.warwick.ac.uk/69575/.
Texto completoAbedan, Kondori Farid. "Bring Your Body into Action : Body Gesture Detection, Tracking, and Analysis for Natural Interaction". Doctoral thesis, Umeå universitet, Institutionen för tillämpad fysik och elektronik, 2014. http://urn.kb.se/resolve?urn=urn:nbn:se:umu:diva-88508.
Texto completoFang, Bing. "A Framework for Human Body Tracking Using an Agent-based Architecture". Diss., Virginia Tech, 2011. http://hdl.handle.net/10919/77135.
Texto completoPh. D.
Libros sobre el tema "TRACKING HUMAN BODY"
Ball, Kevin Arthur. Three-dimensional kinematic techniques for human body segment tracking. 1988.
Buscar texto completoAnalysis and Modeling of the Virtual Human Interface for the MARG Body Tracking System Using Quaternions. Storming Media, 2002.
Buscar texto completoCapítulos de libros sobre el tema "TRACKING HUMAN BODY"
Nakano, Atsushi y Junichi Hoshino. "Human Body Tracking for Digital Actors". En Entertainment Computing, 165–72. Boston, MA: Springer US, 2003. http://dx.doi.org/10.1007/978-0-387-35660-0_20.
Texto completoHynes, Andrew y Stephen Czarnuch. "Combinatorial Optimization for Human Body Tracking". En Advances in Visual Computing, 524–33. Cham: Springer International Publishing, 2016. http://dx.doi.org/10.1007/978-3-319-50832-0_51.
Texto completoLerasle, F., G. Rives, M. Dhome y A. Yassine. "Human body tracking by monocular vision". En Lecture Notes in Computer Science, 518–27. Berlin, Heidelberg: Springer Berlin Heidelberg, 1996. http://dx.doi.org/10.1007/3-540-61123-1_166.
Texto completoPark, Jong-Seung y Sang-Rak Lee. "Human Body Tracking for Human Computer Intelligent Interaction". En Entertainment Computing – ICEC 2004, 260–65. Berlin, Heidelberg: Springer Berlin Heidelberg, 2004. http://dx.doi.org/10.1007/978-3-540-28643-1_34.
Texto completoLange, Christian, Thomas Hermann y Helge Ritter. "Holistic Body Tracking for Gestural Interfaces". En Gesture-Based Communication in Human-Computer Interaction, 132–39. Berlin, Heidelberg: Springer Berlin Heidelberg, 2004. http://dx.doi.org/10.1007/978-3-540-24598-8_13.
Texto completoZheng, Feng, Vitomir Racic, James M. W. Brownjohn, Mark T. Elliot y Alan Wing. "Vision-Based Tracking of Human Body Motion". En Dynamics of Civil Structures, Volume 4, 171–74. Cham: Springer International Publishing, 2014. http://dx.doi.org/10.1007/978-3-319-04546-7_20.
Texto completoJesus, Rui M., Arnaldo J. Abrantes y Jorge S. Marques. "Tracking the Human Body Using Multiple Predictors". En Articulated Motion and Deformable Objects, 155–64. Berlin, Heidelberg: Springer Berlin Heidelberg, 2002. http://dx.doi.org/10.1007/3-540-36138-3_13.
Texto completoShen, Shuhan y Weirong Chen. "Probability Evolutionary Algorithm Based Human Body Tracking". En Lecture Notes in Computer Science, 525–29. Berlin, Heidelberg: Springer Berlin Heidelberg, 2006. http://dx.doi.org/10.1007/11732242_50.
Texto completoZeng, Chengbin, Huadong Ma, Anlong Ming y Xiaobo Zhang. "3D Human Body Tracking in Unconstrained Scenes". En Advances in Multimedia Information Processing - PCM 2009, 119–30. Berlin, Heidelberg: Springer Berlin Heidelberg, 2009. http://dx.doi.org/10.1007/978-3-642-10467-1_10.
Texto completoHan, Tony X. y Thomas S. Huang. "Articulated Body Tracking Using Dynamic Belief Propagation". En Computer Vision in Human-Computer Interaction, 26–35. Berlin, Heidelberg: Springer Berlin Heidelberg, 2005. http://dx.doi.org/10.1007/11573425_3.
Texto completoActas de conferencias sobre el tema "TRACKING HUMAN BODY"
Demirdjian, Ko y Darrell. "Constraining human body tracking". En ICCV 2003: 9th International Conference on Computer Vision. IEEE, 2003. http://dx.doi.org/10.1109/iccv.2003.1238468.
Texto completoDemirdjian, D. "Enforcing Constraints for Human Body Tracking". En 2003 Conference on Computer Vision and Pattern Recognition Workshop (CVPRW). IEEE, 2003. http://dx.doi.org/10.1109/cvprw.2003.10101.
Texto completoXu, Yingkun, Lei Qin, Shuqiang Jiang y Qingming Huang. "Human tracking by structured body parts". En 2011 18th IEEE International Conference on Image Processing (ICIP 2011). IEEE, 2011. http://dx.doi.org/10.1109/icip.2011.6116101.
Texto completoHuang, Chun-Hao, Edmond Boyer y Slobodan Ilic. "Robust Human Body Shape and Pose Tracking". En 2013 International Conference on 3D Vision (3DV). IEEE, 2013. http://dx.doi.org/10.1109/3dv.2013.45.
Texto completoGritai, A. y M. Shah. "Tracking of Human Body Joints using Anthropometry". En 2006 IEEE International Conference on Multimedia and Expo. IEEE, 2006. http://dx.doi.org/10.1109/icme.2006.262711.
Texto completoValtonen, Miika, Henrik Raula y Jukka Vanhala. "Human body tracking with electric field ranging". En the 14th International Academic MindTrek Conference. New York, New York, USA: ACM Press, 2010. http://dx.doi.org/10.1145/1930488.1930527.
Texto completo"HUMAN BODY TRACKING FOR PHYSIOTHERAPY VIRTUAL TRAINING". En International Conference on Computer Vision Theory and Applications. SciTePress - Science and and Technology Publications, 2006. http://dx.doi.org/10.5220/0001364704490454.
Texto completoYang, Jinfu, Jinrong Fu y Mingai Li. "Robust human body tracking using sparse representation". En 2012 IEEE International Conference on Mechatronics and Automation (ICMA). IEEE, 2012. http://dx.doi.org/10.1109/icma.2012.6285718.
Texto completoAbdellaoui, Mehrez, Leila Kabbai y Ali Douik. "New matching method for human body tracking". En 2014 11th International Multi-Conference on Systems, Signals & Devices (SSD). IEEE, 2014. http://dx.doi.org/10.1109/ssd.2014.6808838.
Texto completoGu Junxia, Ding Xiaoqing, Wang Shengjin y Wu Youshou. "Full body tracking-based human action recognition". En ICPR 2008 19th International Conference on Pattern Recognition. IEEE, 2008. http://dx.doi.org/10.1109/icpr.2008.4761198.
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