대한전기학회:학술대회논문집 (Proceedings of the KIEE Conference)
- 대한전기학회 2001년도 하계학술대회 논문집 D
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- Pages.2358-2361
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- 2001
신경망을 이용한 이동성 칼라 물체의 실시간 추적
Real-Time Tracking for Moving Object using Neural Networks
- Choi, Dong-Sun (Dept. of Electrical Eng. Pusan National Univ.) ;
- Lee, Min-Jung (Dept. of Electrical Eng. Pusan National Univ.) ;
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Choi, Young-Kiu
(School of Electrical and Computer Eng. Pusan National Univ.)
- 발행 : 2001.07.18
초록
In recent years there have been increasing interests in real-time object tracking with image information. Since image information is affected by illumination, this paper presents the real-time object tracking method based on neural networks which have robust characteristics under various illuminations. This paper proposes three steps to track the object and the fast tracking method. In the first step the object color is extracted using neural networks. In the second step we detect the object feature information based on invariant moment. Finally the object is tracked through a shape recognition using neural networks. To achieve the fast tracking performance, this paper first has a global search of entire image and tracks the object through local search when the object is recognized.
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