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http://dx.doi.org/10.3745/KIPSTB.2003.10B.3.329

A Method of Adative Background Image Generation for Object Tracking  

Jee, Jeong-Gyu (한국학술진흥재단)
Lee, Kwang-Hyoung (숭실대학교 대학원 컴퓨터학과)
Kim, Yong-Gyun (숭실대학교 대학원 컴퓨터학과)
Oh, Hae-Seok (숭실대학교 정보과학대학)
Publication Information
The KIPS Transactions:PartB / v.10B, no.3, 2003 , pp. 329-338 More about this Journal
Abstract
Object tracking in a real time image is one of Interesting subjects in computer vision and many practical application fields past couple of years. But sometimes existing systems cannot find object by recognize background noise as object. This paper proposes a method of object detection and tracking using adaptive background image in real time. To detect object which does not influenced by illumination and remove noise in background image, this system generates adaptive background image by real time background image updating. This system detects object using the difference between background image and input image from camera. After setting up MBR(minimum bounding rectangle) using the internal point of detected object, the system tracks object through this MBR. In addition, this paper evaluates the test result about performance of proposed method as compared with existing tracking algorithm.
Keywords
객체 추출;객체 추적;적응적 배경영상;최소 사각영역;
Citations & Related Records
Times Cited By KSCI : 4  (Citation Analysis)
연도 인용수 순위
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