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Multiple human body tracking based on Normalized Cross-Correlation of Average Histogram using the Fusion of Color and thermal image sensor

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5 Author(s)
Byoung-Doo Kang ; Korea Electronics Technology Institute, 420-734 Bucheon, Korea ; Kye-Hoon Jeon ; Dongwuk Kyoung ; Seung-Hun Kim
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In this paper, a novel approach for tracking multiple human bodies is proposed by using sensor fusion with respect to color and thermal image sensors. In our human status monitoring system, a color and thermal image sensor is used together to make a robust human tracking. The Normalized Cross-Correlation of Average Histogram (NCCAH) Algorithm is used for analyzing between detected human bodies. Our strategy for detection and tracking is to analyze recursively the correlation between texture and thermal data. Our system tracks the moving human bodies by using the proposed NCCAH algorithm, which uses the static information of the detected bodies and the dynamic information of changes between previous and current frames. Our experiments show that the method yields good detection and tracking performance in dynamic environments, such as an occlusion, various electric heating appliances or complicated backgrounds.

Note: As originally published there is an error in this document. The acknowlegement published was incorrect. It should instead read: "The work presented in this paper was funded by BMRC(Building-Fa??ade Maintenance Robot Research Center), supported by Korea Institute of Construction and Transportation Technology Evaluation and Planning (KICTEP) under the Ministry of Land, Transport and Maritime Affairs(MLTM)." No change has been made to the original article PDF.  

Published in:

2012 IEEE RO-MAN: The 21st IEEE International Symposium on Robot and Human Interactive Communication

Date of Conference:

9-13 Sept. 2012