Stereo-Based Pedestrian Detection for Collision-Avoidance Applications Export

@article{citeulike:5764728, abstract = {<para> Pedestrians are the most vulnerable participants in urban traffic. The first step toward protecting pedestrians is to reliably detect them. We present a new approach for standing- and walking-pedestrian detection, in urban traffic conditions, using grayscale stereo cameras mounted on board a vehicle. Our system uses pattern matching and motion for pedestrian detection. Both 2-D image intensity information and 3-D dense stereo information are used for classification. The 3-D data are used for effective pedestrian hypothesis generation, scale and depth estimation, and 2-D model selection. The scaled models are matched against the selected hypothesis using high-performance matching, based on the Chamfer distance. Kalman filtering is used to track detected pedestrians. A subsequent validation, based on the motion field's variance and periodicity of tracked walking pedestrians, is used to eliminate false positives. </para>}, author = {Nedevschi, S. and Bota, S. and Tomiuc, C.}, booktitle = {Intelligent Transportation Systems, IEEE Transactions on}, citeulike-article-id = {5764728}, citeulike-linkout-0 = {http://dx.doi.org/10.1109/TITS.2008.2012373}, citeulike-linkout-1 = {http://ieeexplore.ieee.org/xpls/abs_all.jsp?arnumber=4770190}, doi = {10.1109/TITS.2008.2012373}, journal = {Intelligent Transportation Systems, IEEE Transactions on}, keywords = {camera-tracking, vehicle}, number = {3}, pages = {380--391}, posted-at = {2009-09-10 02:31:06}, priority = {2}, title = {Stereo-Based Pedestrian Detection for Collision-Avoidance Applications}, url = {http://dx.doi.org/10.1109/TITS.2008.2012373}, volume = {10}, year = {2009} }

TY - JOUR ID - citeulike:5764728 L3 - citeulike-article-id:5764728 N2 - <para> Pedestrians are the most vulnerable participants in urban traffic. The first step toward protecting pedestrians is to reliably detect them. We present a new approach for standing- and walking-pedestrian detection, in urban traffic conditions, using grayscale stereo cameras mounted on board a vehicle. Our system uses pattern matching and motion for pedestrian detection. Both 2-D image intensity information and 3-D dense stereo information are used for classification. The 3-D data are used for effective pedestrian hypothesis generation, scale and depth estimation, and 2-D model selection. The scaled models are matched against the selected hypothesis using high-performance matching, based on the Chamfer distance. Kalman filtering is used to track detected pedestrians. A subsequent validation, based on the motion field's variance and periodicity of tracked walking pedestrians, is used to eliminate false positives. </para> IS - 3 JF - Intelligent Transportation Systems, IEEE Transactions on EP - 391 TI - Stereo-Based Pedestrian Detection for Collision-Avoidance Applications VL - 10 T2 - Intelligent Transportation Systems, IEEE Transactions on SP - 380 KW - camera-tracking KW - vehicle AU - Nedevschi, S AU - Bota, S AU - Tomiuc, C PY - 2009/// UR - http://dx.doi.org/10.1109/TITS.2008.2012373 ER -