Novel object tracking method using the block-based motion estimation

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 motio...

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Bibliographic Details
Published inSICE Annual Conference 2007 pp. 2535 - 2539
Main Authors Heon Soo Shin, Sung Min Kim, Joo Woong Kim, Ki Hwan Eom
Format Conference Proceeding
LanguageEnglish
Published IEEE 01.09.2007
Subjects
Cameras
Data mining
Feature extraction
Fuzzy control
Information security
Keywords
Lighting
macro-block
Motion estimation
motion vector
Object tracking
Robot vision systems
Surveillance
Tracking
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Summary: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.
DOI:10.1109/SICE.2007.4421417