Robust appearance modeling for pedestrian and vehicle tracking

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

Volumn 4122 LNCS, Issue , 2007, Pages 209-215

  Abd Almageed, Wael ^a   Davis, Larry S ^a  

^a UNIVERSITY OF MARYLAND   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

DIGITAL CAMERAS; ROBUSTNESS (CONTROL SYSTEMS); VISUALIZATION;

PARTICLES FILTERS; VISUAL SURVEILLANCE;

IMAGE RECOGNITION;

EID: 38049178204     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/978-3-540-69568-4_17     Document Type: Conference Paper

References (3)

1. th European Conference on Computer Vision. (2006)
2. Comaniciu, D., Meer, P.: Mean Shift: A Robust Approach Toward Feature Space Analysis. IEEE Trans. Pattern Analysis and Machine Intelligence 24 (2002)
3. Han, H., and, D.C., Zhu, Y., Davis, L.: Incremental density approximation and kernel-based baesian filtering for object tracking. In: IEEE International Conference on Computer Vision and Pattern Recognition. (2004)