Multi-target tracking by on-line learned discriminative appearance models

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

Volumn , Issue , 2010, Pages 685-692

  Kuo, Cheng Hao ^a   Huang, Chang ^a   Nevatia, Ramakant ^a  

^a UNIVERSITY OF SOUTHERN CALIFORNIA   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

ADABOOST ALGORITHM; APPEARANCE MODELS; COLOR HISTOGRAM; DISCRIMINABILITY; FALSE ALARMS; HIERARCHICAL ASSOCIATION; IMAGE DESCRIPTORS; KEY ELEMENTS; MULTI-TARGET TRACKING; ONLINE LEARNING; OPTIMAL DATA; SIMILARITY MEASUREMENTS; SINGLE CAMERAS; SPATIAL TEMPORALS; TIME SLIDING WINDOWS; TRACKING ACCURACY; TRAINING SAMPLE;

ADAPTIVE BOOSTING; COMPUTER VISION; GRAPHIC METHODS;

TARGET TRACKING;

EID: 77956000998     PISSN: 10636919     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/CVPR.2010.5540148     Document Type: Conference Paper

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