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» Tracking Multiple Objects through Occlusions
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ICCV
2011
IEEE
14 years 6 months ago
Multi-hypothesis Motion Planning for Visual Object Tracking
In this paper, we propose a long-term motion model for visual object tracking. In crowded street scenes, persistent occlusions are a frequent challenge for tracking algorithm and ...
Haifeng Gong, Jack Sim, Maxim Likhachev, Jianbo Sh...
ICMCS
2007
IEEE
195views Multimedia» more  ICMCS 2007»
16 years 11 days ago
Robust People Detection and Tracking in a Multi-Camera Indoor Visual Surveillance System
In this paper we describe the analysis component of an indoor, real-time, multi-camera surveillance system. The analysis includes: (1) a novel feature-level foreground segmentatio...
Tao Yang, Francine Chen, Don Kimber, Jim Vaughan
ICIP
2003
IEEE
16 years 7 months ago
Transductive inference for color-based particle filter tracking
Robust real-time tracking of non-rigid objects in a dynamic environment is a challenging task. Among various cues in tracking, color can provide an efficient visual cue for this t...
Jiang Li, Chin-Seng Chua
HRI
2006
ACM
16 years 20 hour ago
Effective team-driven multi-model motion tracking
Autonomous robots use sensors to perceive and track objects in the world. Tracking algorithms use object motion models to estimate the position of a moving object. Tracking effic...
Yang Gu, Manuela M. Veloso
AVSS
2003
IEEE
15 years 11 months ago
A Scalable Image-Based Multi-Camera Visual Surveillance System
In this paper, we aim to achieve scalability and wider scene coverage through the use of multiple cameras in an outdoor visual surveillance system. Only image-based information is...
Ser-Nam Lim, Larry S. Davis, Ahmed M. Elgammal