| Summary: | 碩士 === 國立臺灣大學 === 資訊工程學研究所 === 95 === Radio positioning system and visual positioning system are complementary in several aspects. Radio positioning is capable of locating people in a large area, while visual positioning only monitors sub-areas covered by camera views. However, radio positioning could be completely unstable with people cluster while visual positioning can obtain some de nite observations within. As a result, taking advantage of the two systems leads to a preferable localization system. In this paper, we propose a framework that increases the accuracy and stability of the indoor radio positioning system by combining it with a supporting visual tracking system. An association method considering both trajectories and appearances is proposed to integrate the visual targets and the radio clients. Once the observations are associated, the location estimates of the radio clients are modi ed with those of the associated visual targets considered. After that, the results of the other radio clients are re ned by taking the modi cations into account. In this way, we can enhance the localization
performance of the entire radio positioning system. The proposed framework can be applied to a variety of existing radio positioning techniques. The experimental results show its performance in preserving accuracy with people clusters in stationary and moving situations.
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