Context Inspired Pedestrian Detection in Far-Field Videos

A novel pedestrian detection method that integrates context information with slide window search is proposed. The method applies notions such as corner, motion, and appearance to localize pedestrians in far-field videos without performing brute-force-search. The corners direct attention to a set of...

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Bibliographic Details
Published in2010 20th International Conference on Pattern Recognition pp. 3009 - 3012
Main Authors Wenhua Ma, Peng He, Lei Huang, Changping Liu
Format Conference Proceeding
LanguageEnglish
Published IEEE 01.08.2010
Subjects
Context
far-field
Feature extraction
Humans
Image edge detection
Motion segmentation
pedestrian detection
Pixel
Videos
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Summary:A novel pedestrian detection method that integrates context information with slide window search is proposed. The method applies notions such as corner, motion, and appearance to localize pedestrians in far-field videos without performing brute-force-search. The corners direct attention to a set of conspicuous locations as the starting points for searching. And motion detection restricts the searching area within the foreground mask. Based on the above two, slide window search is applied to confirm the exact locations of pedestrians. Experiments demonstrate that the proposed method is efficient in detecting pedestrians in far-field videos.
ISBN:1424475422
9781424475421
ISSN:1051-4651
2831-7475
DOI:10.1109/ICPR.2010.737