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http://dx.doi.org/10.6109/jkiice.2007.11.11.2179

A Study on Multi-Object Tracking Method using Color Clustering in ISpace  

Jin, Tae-Seok (동서대학교 메카트로닉스공학과)
Kim, Hyun-Deok (진주산업대학교 전자공학과)
Publication Information
Journal of the Korea Institute of Information and Communication Engineering / v.11, no.11, 2007 , pp. 2179-2184 More about this Journal
Abstract
The Intelligent Space(ISpace) provides challenging research fields for surveillance, human-computer interfacing, networked camera conferencing, industrial monitoring or service and training applications. ISpace is the space where many intelligent devices, such as computers and sensors, are distributed. According to the cooperation of many intelligent devices, the environment, it is very important that the system knows the location information to offer the useful services. In order to achieve these goals, we present a method for representing, tracking and human following by fusing distributed multiple vision systems in ISpace, with application to pedestrian tracking in a crowd. This paper described appearance based unknown object tracking with the distributed vision system in intelligent space. First, we discuss how object color information is obtained and how the color appearance based model is constructed from this data. Then, we discuss the global color model based on the local color information. The process of learning within global model and the experimental results are also presented.
Keywords
Intelligent Space; mobile robot; multi-object tracking; CCD camera;
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