Chang Hoon Shin , Joo Shin Lee

The KIPS Transactions:PartB , Vol. 11, No. 3, pp. 267-274, Jun. 2004
10.3745/KIPSTB.2004.11.3.267,   PDF Download:

Abstract

In this paper, the interesting moving objects tracking algorithm using color information on Multi-Video camera is proposed. Moving objects are detected by using difference image method and integral projection method to background image and objects image only with hue area, after converting RGB color coordination of image which is input from multi-video camera into HSI color coordination. Hue information of the detected moving area are normalized by 24 steps from 0˚ to 360˚. It is used for the feature parameters of the moving objects that three normalization levels with the highest distribution and distance among three normalization levels after obtaining a hue distribution chart of the normalized moving objects. Moving objects identity among four cameras is distinguished with distribution of three normalization levels and distance among three normalization levels, and then the moving objects are tracked and surveilled. To examine propriety of the proposed method, four cameras are set up indoor difference places, humans are targeted for moving objects. As surveillance results of the interesting human, hue distribution chart variation of the detected interesting human at each camera is under 10%, and it is confirmed that the interesting human is tracked and surveilled by using feature parameters at four cameras, automatically.

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