Multiple view geometry in computer vision
Multiple view geometry in computer vision
IEEE Transactions on Pattern Analysis and Machine Intelligence
Realtime 3D Depth Flow Generation and its Application to Track to Walking Human Being
ICPR '00 Proceedings of the International Conference on Pattern Recognition - Volume 4
Advances in Computational Stereo
IEEE Transactions on Pattern Analysis and Machine Intelligence
Human Detection in Outdoor Scene using Spatio-Temporal Motion Analysis
ICPR '04 Proceedings of the Pattern Recognition, 17th International Conference on (ICPR'04) Volume 4 - Volume 04
A Comparison and Evaluation of Multi-View Stereo Reconstruction Algorithms
CVPR '06 Proceedings of the 2006 IEEE Computer Society Conference on Computer Vision and Pattern Recognition - Volume 1
ICPR '06 Proceedings of the 18th International Conference on Pattern Recognition - Volume 01
IEICE Transactions on Fundamentals of Electronics, Communications and Computer Sciences
Detection of Pedestrians Using Subtraction Stereo
SAINT '08 Proceedings of the 2008 International Symposium on Applications and the Internet
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In this paper, detection of pedestrian groups and counting of the number of pedestrians in each group using "subtraction stereo" are discussed. Subtraction stereo is a stereo vision method that focuses on the movement of objects to make a stereo camera robust and produces range images for moving regions. Pedestrian groups are detected with a standard labeling, and three dimensional (3D) features of pedestrian groups are measured from range images obtained by subtraction stereo. Then a method to count the number of pedestrians in a group is proposed. The basic algorithm of the subtraction stereo is implemented on a commercially available stereo camera, and the effectiveness of the method to count the number of pedestrians is verified by experiments using the stereo camera.