Pedestrian detection using boosted features over many frames

A scanning window type pedestrian detector is presented that uses both appearance and motion information to find walking people in surveillance video. We extend the work of Viola, Jones and Snow (2005) to use many more frames as input to the detector thus allowing a much more detailed analysis of mo...

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Bibliographic Details
Main Authors: Jones, M.J., Snow, D.
Format: Conference Proceeding
Language:English
Subjects:
Cameras
Computer vision
Detectors
Face detection
Legged locomotion
Motion analysis
Motion detection
Optical computing
Snow
Surveillance
Online Access:Request full text
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Description
Summary:A scanning window type pedestrian detector is presented that uses both appearance and motion information to find walking people in surveillance video. We extend the work of Viola, Jones and Snow (2005) to use many more frames as input to the detector thus allowing a much more detailed analysis of motion. The resulting detector is about an order of magnitude more accurate than the detector of Viola, Jones and Snow. It is also computationally efficient, processing frames at the rate of 5 Hz on a 3 GHz Pentium processor.
ISSN:1051-4651
2831-7475
DOI:10.1109/ICPR.2008.4761703