Behavior analysis with combined RFID and video information

Authors:
Hui-Huang Hsu;Zixue Cheng;Tongjun Huang;Qiu Han
Affiliations:
Department of Computer Science and Information Engineering, Tamkang University, Taipei, Taiwan;School of Computer Science and Engineering, University of Aizu, Fukushima, Japan;School of Computer Science and Engineering, University of Aizu, Fukushima, Japan;School of Computer Science and Engineering, University of Aizu, Fukushima, Japan
Venue:
UIC'06 Proceedings of the Third international conference on Ubiquitous Intelligence and Computing
Year:
2006

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Abstract

In order for the hidden computer to interact with human beings, a variety of sensors are used to collect data of human behavior. Using video cameras is quite straightforward on this matter. However, it is still a difficult task to do human motion analysis through only video data. In this paper, we discuss the necessity and the way to combine information from video sensors and other types of sensors, especially, the RFID reader. Data acquisition of RFID and video data is discussed first. Combinatorial information fusion techniques for multiple sources of information are then introduced. On the other hand, rule based methods provide an alternative solution for combining the two sources of information. An example in monitoring real-life learning behavior is also given.