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A Symmetry Search and Filtering Algorithm for Vision Based Pedestrian Detection System
Technical Paper
2008-01-1252
ISSN: 0148-7191, e-ISSN: 2688-3627
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English
Abstract
In this paper we present a fast symmetry search and filtering algorithm for monocular vision based pedestrian candidate detection application. First the ROI of symmetry search is focused on the pedestrian leg region, where the background is relatively simple ground plane. Afterward, the search region is divided into 2 × 4 sub blocks and symmetry density and distribution of each sub block is calculated. Finally, by comparing the symmetry density and distribution of the sub blocks, the correct symmetry axis of the pedestrian candidate is search and also some no-pedestrian candidates are filtered out. The results shown in this method are fast, cost effective and well suited for real-time vision applications.
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Authors
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Citation
Ma, G., Kummert, A., Park, S., Müller-Schneiders, S. et al., "A Symmetry Search and Filtering Algorithm for Vision Based Pedestrian Detection System," SAE Technical Paper 2008-01-1252, 2008, https://doi.org/10.4271/2008-01-1252.Also In
References
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- Ma G. Park S. B. Ioffe A. Mueller-Schneiders S. “A Real Time Object Detection Approach Applied to Reliable Pedestrian Detection” Proc. of IEEE Intelligent Vehicles Symposium (IV07) Istanbul, Turkey, CD 755 760 June 13-15 2007
- Ma G. Park S. B. Mueller-Schneiders S. Ioffe A. “Vision-based Pedestrian Detection - Reliable Pedestrian Candidate Detection by Combining IPM and a 1D Profile” Proc. of IEEE Conference on Intelligent Transportation Systems (ITSC07) Seattle, USA Sept. 30 Oct. 3 2007
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