A Method of Adative Background Image Generation for Object Tracking


The KIPS Transactions:PartB , Vol. 10, No. 3, pp. 329-338, Jun. 2003
10.3745/KIPSTB.2003.10.3.329,   PDF Download:

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.


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Cite this article
[IEEE Style]
J. G. Jee, K. H. Lee, Y. G. Kim, H. S. Oh, "A Method of Adative Background Image Generation for Object Tracking," The KIPS Transactions:PartB , vol. 10, no. 3, pp. 329-338, 2003. DOI: 10.3745/KIPSTB.2003.10.3.329.

[ACM Style]
Jeong Gyu Jee, Kwang Hyoung Lee, Yong Gyun Kim, and Hae Seok Oh. 2003. A Method of Adative Background Image Generation for Object Tracking. The KIPS Transactions:PartB , 10, 3, (2003), 329-338. DOI: 10.3745/KIPSTB.2003.10.3.329.