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 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.