DocumentCode :
3097731
Title :
Detecting Motion Patterns in Dynamic Crowd Scenes
Author :
Wang, Chongjing ; Zhao, Xu ; Zou, Yi ; Liu, Yuncai
Author_Institution :
Dept. of Autom., Shanghai Jiao Tong Univ., Shanghai, China
fYear :
2011
fDate :
12-15 Aug. 2011
Firstpage :
434
Lastpage :
439
Abstract :
Detecting motion pattern in dynamic crowd scenes is a challenging problem in computer vision field. In this paper, we propose a novel approach to detect the motion patterns from global perspective. To extract the discriminative spatial-temporal features, we introduce the Motion History Image (MHI) into the optical flow algorithm. Motion patterns are then detected by automatic clustering of optical flow vectors through hierarchical clustering. Experiment evaluation on some challenging videos shows reliable detection results and demonstrates the effectiveness of our proposed approach.
Keywords :
computer vision; feature extraction; image sequences; motion estimation; natural scenes; object detection; pattern clustering; spatiotemporal phenomena; video signal processing; automatic optical flow vector clustering; computer vision; discriminative spatial-temporal features; dynamic crowd scenes; hierarchical clustering; motion history image; motion pattern detection; Estimation; Feature extraction; Noise; Optical imaging; Optical noise; Optical scattering; Videos; cluster; crowd; motion pattern; spatial-temporal feature;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Image and Graphics (ICIG), 2011 Sixth International Conference on
Conference_Location :
Hefei, Anhui
Print_ISBN :
978-1-4577-1560-0
Electronic_ISBN :
978-0-7695-4541-7
Type :
conf
DOI :
10.1109/ICIG.2011.114
Filename :
6005839
Link To Document :
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