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ISRR
2001
Springer
109views Robotics» more  ISRR 2001»
13 years 10 months ago
Probabilistic Adaptive Agent Based System for Dynamic State Estimation using Multiple Visual Cues
Most of current machine vision systems suffer from a lack of flexibility to account for the high variability of unstructured environments. Here, as the state of the world evolves ...
Alvaro Soto, Pradeep K. Khosla
ECCV
2008
Springer
14 years 7 months ago
A Probabilistic Approach to Integrating Multiple Cues in Visual Tracking
Abstract. This paper presents a novel probabilistic approach to integrating multiple cues in visual tracking. We perform tracking in different cues by interacting processes. Each p...
Wei Du, Justus H. Piater
ICIP
2007
IEEE
14 years 7 months ago
Hierarchical Feature Fusion for Visual Tracking
A new method for object tracking in video sequences is presented. This method exploits the benefits of particle filters to tackle the multimodal distributions emerging from clutte...
Alexandros Makris, Dimitrios I. Kosmopoulos, Stavr...
DICTA
2003
13 years 7 months ago
Probabilistic Multiple Cue Integration for Particle Filter Based Tracking
Robust visual tracking has become an important topic in the field of computer vision. The integration of cues such as color, edge strength and motion has proved to be a promising ...
Chunhua Shen, Anton van den Hengel, Anthony R. Dic...
AVSS
2005
IEEE
13 years 11 months ago
Rank-based multisensory fusion in multitarget video tracking
An attractive approach to improve tracking performance for visual surveillance is to use information from multiple visual sensory cues such as position, color, shape, etc. Previou...
Damian M. Lyons, D. Frank Hsu