DocumentCode :
2643843
Title :
Novel object tracking method using the block-based motion estimation
Author :
Shin, H. Eon Soo ; Kim, Sung Min ; Kim, Joo Woong ; Eom, Ki Hwan
Author_Institution :
Dongguk Univ., Seoul
fYear :
2007
fDate :
17-20 Sept. 2007
Firstpage :
2535
Lastpage :
2539
Abstract :
In this paper, we propose a novel object tracking method which is applicable to surveillance system application. Proposed method that we use, are adapted to MPEG-2 for predicts the object contour using motion vector information, and the fuzzy control system. This algorithm uses the block-based motion estimation, and simple to apply the real time. Accordingly, we can make the security system with a moving system. The best of our knowledge is that it is easy to apply the object tracking system. In order to verify the effectiveness of the proposed method, we performed the experimentation. Experimental results are presented that show the effectiveness of the proposed system.
Keywords :
fuzzy control; motion estimation; surveillance; tracking; MPEG-2; block-based motion estimation; fuzzy control system; motion vector information; object contour; object tracking method; surveillance system; Cameras; Data mining; Feature extraction; Fuzzy control; Information security; Lighting; Motion estimation; Robot vision systems; Surveillance; Tracking; Fuzzy control; Keywords; Object tracking; macro-block; motion vector;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
SICE, 2007 Annual Conference
Conference_Location :
Takamatsu
Print_ISBN :
978-4-907764-27-2
Electronic_ISBN :
978-4-907764-27-2
Type :
conf
DOI :
10.1109/SICE.2007.4421417
Filename :
4421417
Link To Document :
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