Real-Time PTZ Camera with Detection and Classification Functionalities 


Vol. 36,  No. 2, pp. 78-85, Feb.  2011


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  Abstract

In this paper we proposed an intelligent PTZ camera system which detects, classifies and tracks moving objects. If a moving object is detected, features are extracted for classification and then realtime tracking follows. We used GMM for detection followed by shadow removal. Legendre moment is used for classification. Without auto focusing, we can control the PTZ camera movement by using center points of the image and object's direction, distance and velocity. To implement the realtime system, we used TI DM6446 Davinci processor. Throughout the experiment, we obtained system's high performance in classification and tracking both at vehicle's normal and high speed motion.

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  Cite this article

[IEEE Style]

J. Park, T. Ahn, J. Jeon, B. Jo, G. Park, "Real-Time PTZ Camera with Detection and Classification Functionalities," The Journal of Korean Institute of Communications and Information Sciences, vol. 36, no. 2, pp. 78-85, 2011. DOI: .

[ACM Style]

Jong-Hwa Park, Tae-Ki Ahn, Ji-Hye Jeon, Byung-Mok Jo, and Goo-Man Park. 2011. Real-Time PTZ Camera with Detection and Classification Functionalities. The Journal of Korean Institute of Communications and Information Sciences, 36, 2, (2011), 78-85. DOI: .

[KICS Style]

Jong-Hwa Park, Tae-Ki Ahn, Ji-Hye Jeon, Byung-Mok Jo, Goo-Man Park, "Real-Time PTZ Camera with Detection and Classification Functionalities," The Journal of Korean Institute of Communications and Information Sciences, vol. 36, no. 2, pp. 78-85, 2. 2011.