Behavior Analysis with Combined RFID and Video Information

• Published in: Lecture notes in computer science pp. 176 - 181
• Main Authors: Hsu, Hui-Huang, Cheng, Zixue, Huang, Tongjun, Han, Qiu
• Format: Book Chapter Conference Proceeding
• Language: English
• Published: Berlin, Heidelberg Springer Berlin Heidelberg 2006; Springer
• Series: Lecture Notes in Computer Science
• Subjects: Applied sciences; Artificial intelligence; Computer science; control theory; systems; Computer systems and distributed systems. User interface; Exact sciences and technology; Pattern recognition. Digital image processing. Computational geometry; Software; Pervasive computing; Data analysis; Motion estimation; Image processing; Expert system; Measurement sensor; Video signal; Video cameras; Knowledge base; Human factor; Image analysis; Information source; Surveillance; Multiplicity; Body movement; Data fusion; Motion analysis; Artificial intelligence; Monitoring; Radio frequency identification
• ISBN: 3540380914; 9783540380917
• ISSN: 0302-9743; 1611-3349
• DOI: 10.1007/11833529_18

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.