DocumentCode :
431450
Title :
Reliable Segmentation of Pedestrians in Moving Scenes
Author :
Ran, Yang ; Zheng, Qinfen ; Weiss, Isaac ; Davis, Larry S.
Author_Institution :
Center for Autom. Res., Maryland Univ., College Park, MD, USA
Volume :
2
fYear :
2005
fDate :
March 18-23, 2005
Firstpage :
229
Lastpage :
232
Keywords :
convergence; gait analysis; image segmentation; image sequences; maximum likelihood estimation; video signal processing; EM clustering; body part location prediction; bottom-up learning method; consecutive image segmentation; gait analysis; global maximum convergence; human stride representation; learned manifold structure; model cascade; moving platform acquired videos; moving scenes; pedestrian segmentation; periodic motion based segmentation; periodicity based object segmentation; twin-pendulum model; walking human bounding boxes; Biological system modeling; Cameras; Clustering algorithms; Discrete Fourier transforms; Humans; Image segmentation; Layout; Legged locomotion; Motion analysis; Videos;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Acoustics, Speech, and Signal Processing, 2005. Proceedings. (ICASSP '05). IEEE International Conference on
ISSN :
1520-6149
Print_ISBN :
0-7803-8874-7
Type :
conf
DOI :
10.1109/ICASSP.2005.1415383
Filename :
1415383
Link To Document :
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