Title :
Vision-based pedestrian detection -reliable pedestrian candidate detection by combining IPM and a 1D profile
Author :
Ma, Guanglin ; Park, Su-Birm ; Müller-Schneiders, Stefan ; Ioffe, Alexander ; Kummert, Anton
Author_Institution :
Wuppertal Univ., Wuppertal
fDate :
Sept. 30 2007-Oct. 3 2007
Abstract :
This article presents the improvement of an Inverse Perspective Mapping (IPM) based obstacle detection algorithm and its utilization in a pedestrian candidate detection module of our vision based pedestrian detection system. A vertical 1D profile of the IPM detection on the region of interest termed Pedestrian Detection Strip (PDS) is created first and the candidates are chosen by applying a threshold on the profile. The usage of the vertical profile increases the robustness of the detection on low contrast images as well as distant pedestrians significantly. A low level pedestrian oriented segmentation and fast symmetry search on the leg region of pedestrians is also presented.
Keywords :
computer vision; image segmentation; object detection; road vehicles; search problems; traffic engineering computing; 1D profile; image segmentation; inverse perspective mapping; obstacle detection algorithm; reliable pedestrian candidate detection; road vehicle; symmetry search; vision-based pedestrian detection; Detection algorithms; Feature extraction; Infrared detectors; Infrared sensors; Intelligent transportation systems; Machine vision; Robustness; Stereo vision; Vehicle detection; Vehicle safety;
Conference_Titel :
Intelligent Transportation Systems Conference, 2007. ITSC 2007. IEEE
Conference_Location :
Seattle, WA
Print_ISBN :
978-1-4244-1395-9
Electronic_ISBN :
978-1-4244-1396-6
DOI :
10.1109/ITSC.2007.4357628
