For intelligent vehicle and driving assistant system, pedestrian detection technology is an important research field to avoid dangerous traffic accidents. This article puts forward a pedestrian detection algorithm based on edge symmetry. First, lane recognition method is used to get area of interest (AOI) ahead of vehicle. Second, as pedestrian legs have prominent vertical edge symmetry, their symmetrical axis can be acquired through vertical edge extraction in the AOI. Combined with pedestrian transcendental features, the candidate pedestrian could be locked. Third, the candidate pedestrian will be validated based on the gray symmetry and local entropy. The experiment results show that the algorithm is effective, reliable and robust.
Algorithm Study for Pedestrian Detection Based on Monocular Vision
2006-12-01
4880046 byte
Conference paper
Electronic Resource
English
Pedestrian detection with monocular vision system
Tema Archive | 2006
|Pedestrian detection with monocular vision system
Automotive engineering | 2006
|A Monocular Vision Based Pedestrian Detection System for Intelligent Vehicles
British Library Conference Proceedings | 2008
|A monocular-vision rear vehicle detection algorithm
IEEE | 2007
|