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. © Springer-Verlag Berlin Heidelberg 2006.
CITATION STYLE
Hsu, H. H., Cheng, Z., Huang, T., & Han, Q. (2006). Behavior analysis with combined RFID and video information. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 4159 LNCS, pp. 176–181). Springer Verlag. https://doi.org/10.1007/11833529_18
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