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논문 기본 정보

자료유형
학술대회자료
저자정보
Kyung-Taek Hong (Korea Polytechnic University) Jae-Hong Shim (Korea Polytechnic University) Byoung-Doo Kang (Korea Electronics Technology Institute) il-Kyun Jung (Korea Electronics Technology Institute)
저널정보
제어로봇시스템학회 제어로봇시스템학회 국제학술대회 논문집 ICCAS 2012
발행연도
2012.10
수록면
462 - 465 (4page)

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초록· 키워드

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When a video surveillance system tracks a specific object, it is very important to get quickly the information of the object through fast image processing. Usually one camera surveillance system for tracking the object made results in various problems such like occlusion, image noise during the tracking process. It makes difficulties on image based moving object tracking. Therefore, to overcome the difficulties the multi video surveillance system which installed several camera within interested area and looking the same object from multi angles of view could be considered as a solution. If multi cameras are used for tracking object, it is capable of making a decision having high accuracy in more wide space. This paper proposes a method of recognizing and tracking a specific object like a car using the homography in which multi cameras are installed at the crossroad.

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Abstract
1. INTRODUCTION
2. HOMOGRAPHY MATRIX
3. OBJECT RECOGNITION ON THE COMBINED PROJECTION IMAGE PLANE
4. EXPERIMENTS AND DISCUSSION
5. CONCLUSIONS
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