Robust visual tracking via multi-task sparse learning

Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition

Volumn , Issue , 2012, Pages 2042-2049

  Zhang, Tianzhu ^a   Ghanem, Bernard ^a,b   Liu, Si ^c   Ahuja, Narendra ^a,d  

^a Advanced Digital Sciences Center of Illinois   (Singapore)

^b KING ABDULLAH UNIVERSITY OF SCIENCE AND TECHNOLOGY   (Saudi Arabia)

^c INSTITUTE OF GEOLOGY AND GEOPHYSICS   (China)

^d UNIVERSITY OF ILLINOIS AT URBANA CHAMPAIGN   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

CLOSED FORM; HEAVY OCCLUSION; ILLUMINATION CHANGES; JOINT SPARSITY; LEARNING PROBLEM; LINEAR COMBINATIONS; MIXED-NORM; MTT METHOD; OBJECT TRACKING; PARTICLE FILTER; POSE VARIATION; TRACKING PERFORMANCE; VISUAL TRACKING;

TRACKING (POSITION);

COMPUTER VISION;

EID: 84866678444     PISSN: 10636919     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/CVPR.2012.6247908     Document Type: Conference Paper

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