Results 211 to 220 of about 148,549 (266)
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2005 IEEE International Conference on Systems, Man and Cybernetics, 2006
This paper addresses the problem of template-based tracking of non rigid objects. We use the well-known framework of auxiliary particle filtering and propose an observation model that explicitly addresses appearance changes that are caused by local deformations of the tracked object.
Ioannis Patras, Maja Pantic
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This paper addresses the problem of template-based tracking of non rigid objects. We use the well-known framework of auxiliary particle filtering and propose an observation model that explicitly addresses appearance changes that are caused by local deformations of the tracked object.
Ioannis Patras, Maja Pantic
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A Pyramid Approach to Motion Tracking
Real-Time Imaging, 2001Summary: This paper presents a multiresolution approach to visual motion tracking. In the approach, the foveation mechanism of the human visual system is used to model the multiresolution information perception algorithms of a Transputer-based pyramid visual tracking system.
Jason Z. Zhang, Q. M. Jonathan Wu
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Motion Tracking for Volumetric Motion Capture Data
2019 IEEE 16th International Conference on Mobile Ad Hoc and Sensor Systems Workshops (MASSW), 2019Motion capture is often used to study the biomechanics of human motion. The first step in this type of research is to process and retrieve biomechanical data from the motion capture data. In this paper, we introduce a new method to dynamically track joint locations in volumetrically captured human motion sequences.
Derek Roberts, Ying Zhu 0001
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Human motion detection and tracking
SPIE Proceedings, 2017Human behavior analysis in a video scene is based on motion feature extraction and recognition, many information is hidden behind gesture, sudden motion and walking, many research works tried to model and then recognize human behavior through motion analysis.
Neziha Jaouedi +3 more
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Motion tracking for palpation imaging
2004 2nd IEEE International Symposium on Biomedical Imaging: Macro to Nano (IEEE Cat No. 04EX821), 2005We are developing a method for imaging the elastic properties of tissue using unmodified clinical equipment and techniques that are similar to standard clinical exams. Our work with in vivo data from human subjects suggests that elasticity imaging provides new diagnostically significant information. For example, we can observe a nonlinear stress-strain
Timothy J. Hall, Jingfeng Jiang
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True myocardial motion tracking
Magnetic Resonance in Medicine, 1994AbstractMyocardial tagging is a powerful tool for the assessment of in‐plane cardiac motion. However, for previous myocardial tagging techniques, the imaged slice is fixed with respect to the magnet coordinate system. Thus, images acquired at different heart phases do not always represent the same slice of the myocardium.
Fischer SE +5 more
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Monocular human motion tracking
Multimedia Systems, 2004Human motion tracking from monocular image sequences has been explored widely. However, a framework that addresses the variety of sensing conditions is lacking. In this paper, we present a simple, efficient, and robust method for recovering plausible 3D motion from a video without knowledge of the camera's parameters.
Carlos Barron, Ioannis A. Kakadiaris
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Motion tracking of iris features for eye tracking
Proceedings of the 11th ACM Symposium on Eye Tracking Research & Applications, 2019Current video-based eye trackers fail to acquire a high signal-to-noise (SNR) ratio which is crucial for specific applications like interactive systems, event detection, the study of various eye movements, and most importantly estimating the gaze position with high certainty.
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Genetic CONDENSATION for motion tracking
Soft Computing, 2005Tracking is a particularly important issue in human motion analysis since it serves as a means to prepare data for pose estimation and action recognition. The CONDENSATION algorithm is a kind of conditional density propagation method for motion tracking.
Zhu Ye, Zhi-Qiang Liu
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Spiral visual and motional tracking
Neurocomputing, 2017Constructing a visual appearance model is essential for visual tracking. However, relying only on the visual model during appearance changes is insufficient and may even interfere with achieving good results. Although several visual tracking algorithms emphasize motional tracking that estimates the motion state of the object center between consecutive ...
Xiao Yun, Gang Xiao
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