Pedestrian detection by modeling local convex shape features

Proceedings - International Conference on Pattern Recognition

Volumn , Issue , 2008, Pages

  Park, Jungme ^a   Luo, Yun ^b   Wang, Haoxing ^a   Murphey, Yi L ^a  

^a University of Michigan Dearborn   (United States)

^b Group Robert Bosch   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

SOFTWARE ENGINEERING;

BACKGROUND IMAGE; BODY CONTOURS; FALSE POSITIVE RATES; IMPORTANT FEATURES; PARTIAL OCCLUSIONS; PEDESTRIAN DETECTION; PEDESTRIAN MODELS; PEDESTRIAN RECOGNITION;

PATTERN RECOGNITION;

EID: 77957958026     PISSN: 10514651     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/icpr.2008.4761708     Document Type: Conference Paper

References (11)

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2. P. Viola, M. Jones, and D. Snow, "Detecting Pedestrians Using Patterns of Motion and Appearance," Proc. Int'l Conf. Computer Vision, pp. 734-741, 2003.
3. S. Belongie, J. Malik, and J. Puzicha, "Shape matching and object recognition using shape contexts," IEEE PAMI 24, pp. 509-522, 2002.
4. Ying Wu and Ting Yu, "A Field Model for Human Detection and Tracking," IEEE PAMI, vol. 28, May 2006.
5. F. Jurie and C. Schmid, "Scale-invariant shape features for recognition of object categories," In Proc. IEEE Conf. Comp. Vision Pattern Recognition, 2004.
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8. MIT-Label-Me (http://people.csail.mit.edu/torralba/research/LabelMe/js/ LabelMeQueryObjectFast.cgi).
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11. MIT-CBCL Pedestrian Data (http://cbcl.mit.edu/software-datasets/ PedestrianData.html).