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IJCAI
2007

Robust Object Tracking with a Case-Base Updating Strategy

8 years 12 months ago
Robust Object Tracking with a Case-Base Updating Strategy
The paper describes a simple but effective framework for visual object tracking in video sequences. The main contribution of this work lies in the introduction of a case-based reasoning (CBR) method to maintain an accurate target model automatically and efficiently under significant appearance changes without drifting away. Specifically, an automatic case-base maintenance algorithm is proposed to dynamically update the case base, manage the case base to be competent and representative, and to maintain the case base in a reasonable size for real-time performance. Furthermore, the method can provide an accurate confidence measurement for each tracked object so that the tracking failures can be identified in time. Under the framework, a real-time face tracker is built to track human faces robustly under various face orientations, significant facial expressions, and illumination changes.
Wenhui Liao, Yan Tong, Zhiwei Zhu, Qiang Ji
Added 29 Oct 2010
Updated 29 Oct 2010
Type Conference
Year 2007
Where IJCAI
Authors Wenhui Liao, Yan Tong, Zhiwei Zhu, Qiang Ji
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