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» Dependent Multiple Cue Integration for Robust Tracking
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WACV
2005
IEEE
15 years 5 months ago
Persistent Objects Tracking Across Multiple Non Overlapping Cameras
We present an approach for persistent tracking of moving objects observed by non-overlapping and moving cameras. Our approach robustly recovers the geometry of non-overlapping vie...
Jinman Kang, Isaac Cohen, Gérard G. Medioni
ICCV
2001
IEEE
16 years 1 months ago
Continuous Global Evidence-Based Bayesian Modality Fusion for Simultaneous Tracking of Multiple Objects
Robust, real-time tracking of objects from visual data requires probabilistic fusion of multiple visual cues. Previous approaches have either been ad hoc or relied on a Bayesian n...
Jamie Sherrah, Shaogang Gong
ECCV
2008
Springer
16 years 1 months ago
Dynamic Integration of Generalized Cues for Person Tracking
Abstract. We present an approach for the dynamic combination of multiple cues in a particle filter-based tracking framework. The proposed algorithm is based on a combination of dem...
Kai Nickel, Rainer Stiefelhagen
TIP
2008
125views more  TIP 2008»
14 years 11 months ago
Integrating Color and Shape-Texture Features for Adaptive Real-Time Object Tracking
We extend the standard mean-shift tracking algorithm to an adaptive tracker by selecting reliable features from color and shape-texture cues according to their descriptive ability....
Junqiu Wang, Yasushi Yagi
112
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ATAL
2007
Springer
15 years 5 months ago
Towards using multiple cues for robust object recognition
A robot’s ability to assist humans in a variety of tasks, e.g. in search and rescue or in a household, heavily depends on the robot’s reliable recognition of the objects in th...
Sarah Aboutalib, Manuela M. Veloso