Object Recognition and Tracking using Histogram Through Successive Frames 


Vol. 34,  No. 3, pp. 274-278, Mar.  2009


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  Abstract

Recently, the research which concerns the object class recognition has been done. Although an object tracking based on most of histograms employs a colored model to improve robustness, the system is not reliable enough yet. In this paper, we presents a method to express and track an object by using the histograms which are composed with visual features through succesive frames. The experimental results shows that this method is reliable to track a car within 80m distance from camera.

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  Cite this article

[IEEE Style]

H. Park and C. Bae, "Object Recognition and Tracking using Histogram Through Successive Frames," The Journal of Korean Institute of Communications and Information Sciences, vol. 34, no. 3, pp. 274-278, 2009. DOI: .

[ACM Style]

Ho-sik Park and Cheol-soo Bae. 2009. Object Recognition and Tracking using Histogram Through Successive Frames. The Journal of Korean Institute of Communications and Information Sciences, 34, 3, (2009), 274-278. DOI: .

[KICS Style]

Ho-sik Park and Cheol-soo Bae, "Object Recognition and Tracking using Histogram Through Successive Frames," The Journal of Korean Institute of Communications and Information Sciences, vol. 34, no. 3, pp. 274-278, 3. 2009.

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pISSN : 1226 - 4717
eISSN : 2287 - 3880