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http://dx.doi.org/10.3745/KIPSTB.2005.12B.7.721

Object Detection using Multiple Color Normalization and Moving Color Information  

Kim, Sang-Hoon (한경대학교 정보제어공학과)
Publication Information
The KIPS Transactions:PartB / v.12B, no.7, 2005 , pp. 721-728 More about this Journal
Abstract
This paper suggests effective object detection system for moving objects with specified color and motion information. The proposed detection system includes the object extraction and definition process which uses MCN(Multiple Color Normalization) and MCWUPC(Moving Color Weighted Unmatched Pixel Count) computation to decide the existence of moving object and object segmentation technique using signature information is used to exactly extract the objects with high probability. Finally, real time detection system is implemented to verify the effectiveness of the technique and experiments show that the success rate of object tracking is more than $89\%$ of total 120 image frames.
Keywords
Object Detection; Color Normalization; Moving Color;
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