DocumentCode :
3440017
Title :
Realtime multiple object tracking based on optical flows
Author :
Yamamoto, Shinya ; Mae, Yasushi ; Shirai, Yoshiaki ; Miura, Jun
Author_Institution :
Dept. of Mech. Eng. for Comput.-Controlled Machinery, Osaka Univ., Japan
Volume :
3
fYear :
1995
fDate :
21-27 May 1995
Firstpage :
2328
Abstract :
This paper describes real time object tracking by extracting optical flows from a sequence of images. Optical flows are calculated based on the generalized gradient model. Our method detects a moving object, and tracks it from the optical flow data. Assuming that pixels corresponding to the same object have similar flow vectors, we extract a connected region with similar flow vectors. We apply this method to multiple object tracking. When two objects overlap, foreground object is recognized, and each object is tracked without confusion. Optical flow extraction and object tracking are executed in realtime by a special image processor
Keywords :
conjugate gradient methods; image sequences; optical tracking; real-time systems; generalized gradient model; image processor; image sequence; moving object detection; optical flow extraction; real-time multiple object tracking; Computational efficiency; Data mining; Equations; Image motion analysis; Mechanical engineering; Object detection; Optical computing; Optical filters; Optical sensors; Pixel;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Robotics and Automation, 1995. Proceedings., 1995 IEEE International Conference on
Conference_Location :
Nagoya
ISSN :
1050-4729
Print_ISBN :
0-7803-1965-6
Type :
conf
DOI :
10.1109/ROBOT.1995.525608
Filename :
525608
Link To Document :
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