Results 221 to 230 of about 148,549 (266)
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Neural Architectures for Motion Tracking
1993The goal of a visual tracking system is to evaluate the motion parameters of an object in a scene. The present research approaches this problem from a connectionist perspective, aiming at an effective methodology with the fewest assumptions on the observed domain.
D'Agnese L +3 more
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Contour tracking with abrupt motion
2009 16th IEEE International Conference on Image Processing (ICIP), 2009Traditional contour tracking methods can not handle abrupt motion or low frame rate video. This is because the basis of the traditional tracking lies in the assumption that the motion is smooth between consecutive frames. However, the abrupt motion destroys the foundation of this assumption.
Wei Li 0034 +2 more
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A robust tracking of 3D motion
1994The tracking of moving objects in the 3D space for long-term image sequences must be very robust with respect to noise and computational errors. Thus, for example autoregressive, and Newtonian models have been adopted mainly with least-square, Kalman filter, and other techniques. The parameters measured are predicted/corrected on the basis of the model
A. Borri, Giacomo Bucci, Paolo Nesi
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Stabilizing motion tracking using retrieved motion priors
2009 IEEE 12th International Conference on Computer Vision, 2009In this paper, we introduce a novel iterative motion tracking framework that combines 3D tracking techniques with motion retrieval for stabilizing markerless human motion capturing. The basic idea is to start human tracking without prior knowledge about the performed actions.
Baak, A. +3 more
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Motion Tracking with Dynamic Simulation
2000This paper presents a physics-based real-time animation system for human-like articulated figures. We introduce a novel method for tracking motion data using dynamic simulation. By tracing a desired motion that is kinematically specified by a user using dynamic simulation, our system produces a motion that dynamically and realistically responds to a ...
Masaki Oshita, Akifumi Makinouchi
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Human Motion Tracking by Robots
2015Dance notation is a useful tool for providing a high-level description of complex movements to others. Given a description, human dancers are able to reproduce the intended detailed movements easily because they know how to move their joints to generate the described motion either through training or common sense.
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Jointly Modeling Motion and Appearance Cues for Robust RGB-T Tracking
IEEE Transactions on Image Processing, 2021Chunjuan Bo, Huchuan Lu, Dong Wang
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Personalized Motion Planning and Tracking Control for Autonomous Vehicles Obstacle Avoidance
IEEE Transactions on Vehicular Technology, 2022Yingfeng Cai, Youqun Zhao, Wei Pi
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