JIITA, vol. 1, no. 2, pp.29-33, Sep, 2017
A Study of Effective Stereo Matching Method for Long-Wave Infrared Camera Module
Hyun-Koo KIM, Yonghun Kim, Yong-hoon Kim, Ju Hee Lee, Myungho Song
Department of Information and Communication Engineering Inha University, In-cheon 402-751, Korea
Abstract: In this paper, we have described an efficient stereo matching method and pedestrian detection method using stereo types Long-Wave Infrared Camera (LWIR) camera. We compared with two types stereo camera algorithm as efficient large-scale stereo matching (ELAS) and semi-global matching (SGM). For pedestrian detection using stereo LWIR camera, we used that SGM stereo matching method, free space detection method using u/v-disparity, and histogram of oriented gradi-ent (HOG) feature based pedestrian detection. According to testing re-sult, SGM method has better performance than block matching and ELAS algorithm. Combination of SGM, free space detection, and pe-destrian detection using HOG features and SVM classification can de-tect pedestrian of 30m distance.
Keyword: component; night vision system; pedestrian detection; ste-reo matching method; long-wave IR camera