DocumentCode :
3221132
Title :
Vehicle detection and tracking with affine motion segmentation in stereo video
Author :
Miyama, Masayuki ; Matsuda, Yoshio
Author_Institution :
Grad. Sch. of Natural Sci. & Technol., Kanazawa Univ. Kakumamachi, Ishikawa, Japan
fYear :
2011
fDate :
16-18 Nov. 2011
Firstpage :
271
Lastpage :
276
Abstract :
This paper proposes a novel method for vehicle detection and tracking based on stereo vision, motion analysis, and road detection. Combining stereo vision with motion analysis makes object detection more appropriate than each individual method. Object tracking with motion estimation, which follows the next object detection starting with an initial solution given by the tracking, improves detection accuracy. Road detection with motion segmentation, considering a parallax in stereo vision as a motion, enables on-road vehicle and obstacle detection. All elements constructing the proposed method are founded commonly on affine motion segmentation. Software and hardware implementations become efficient because their parts share the common principal procedure. Simulation results show the proposed method successfully detects and tracks vehicles on moving background in a complicated scene of downtown.
Keywords :
image motion analysis; image segmentation; object detection; object tracking; road vehicles; stereo image processing; video signal processing; affine motion segmentation; hardware implementation; motion analysis; motion estimation; object detection; object tracking; obstacle detection; on-road vehicle; road detection; software implementation; stereo video; stereo vision; vehicle detection; vehicle tracking; Cameras; Computer vision; Mathematical model; Motion segmentation; Roads; Stereo vision; Tracking;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Signal and Image Processing Applications (ICSIPA), 2011 IEEE International Conference on
Conference_Location :
Kuala Lumpur
Print_ISBN :
978-1-4577-0243-3
Type :
conf
DOI :
10.1109/ICSIPA.2011.6144099
Filename :
6144099
Link To Document :
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