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» MAP Particle Selection in Shape-Based Object Tracking
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ICPR
2006
IEEE
14 years 5 months ago
Non-overlapping Distributed Tracking using Particle Filter
Tracking people or objects across multiple cameras is a challenging research area in visual computing especially when these cameras have non-overlapping field-of-views. The import...
Fee-Lee Lim, Tele Tan, Wilson S. Leoputra
CVPR
2005
IEEE
13 years 10 months ago
Online Selecting Discriminative Tracking Features Using Particle Filter
The paper proposes a method to keep the tracker robust to background clutters by online selecting discriminative features from a large feature space. Furthermore, the feature sele...
Jianyu Wang, Xilin Chen, Wen Gao
VMV
2008
116views Visualization» more  VMV 2008»
13 years 5 months ago
A GPU-accelerated particle filter with pixel-level likelihood
We present in this paper a GPU-accelerated particle filter based on pixel-level segmentation and matching, for real-time object tracking. The proposed method achieves real-time pe...
Claus Lenz, Giorgio Panin, Alois Knoll
ICRA
2002
IEEE
164views Robotics» more  ICRA 2002»
13 years 9 months ago
Conditional Particle Filters for Simultaneous Mobile Robot Localization and People-Tracking
Abstract—This paper presents a probabilistic algorithm for simultaneously estimating the pose of a mobile robot and the positions of nearby people in a previously mapped environm...
Michael Montemerlo, Sebastian Thrun, William Whitt...
PR
2007
184views more  PR 2007»
13 years 3 months ago
Accurate object contour tracking based on boundary edge selection
In this paper, a novel method for accurate subject tracking, by selecting only tracked subject boundary edges in a video stream with a changing background and moving camera, is pr...
Myung-Cheol Roh, Tae-Yong Kim, Jihun Park, Seong-W...