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Object Recognition and Tracking using Histogram Through Successive Frames  

Park, Ho-Sik (오산대학 디지털전자과)
Bae, Cheol-Soo (관동대학교 전자통신공학과)
Publication Information
The Journal of Korean Institute of Communications and Information Sciences / v.34, no.3C, 2009 , pp. 274-278 More about this Journal
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 successive frames. The experimental results shows that this method is reliable to track a car within 80m distance from camera.
Keywords
object recognition; tracking; svm; mean-shift; color histogram;
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