Title :
Commentary Paper on Person Tracking With Audio-Visual Cues Using the Iterative Decoding Framework
Author_Institution :
Dept. of Comput. Sci., Univ. of Houston, Houston, TX, USA
Abstract :
This paper presents an information theoretic approach to the problem of fusing information from multiple disparate sources for the problem of person tracking. Specifically, the approach is presented for the use of audio-visual cues in tracking people in indoor environments.
Keywords :
audio signal processing; audio-visual systems; image processing; iterative decoding; sensor fusion; target tracking; audio-visual cues; information fusion; iterative decoding; person tracking; Calibration; Computer science; Hidden Markov models; Indoor environments; Iterative decoding; Microphones; Noise robustness; Sensor fusion; Surveillance; Videoconference;
Conference_Titel :
Advanced Video and Signal Based Surveillance, 2008. AVSS '08. IEEE Fifth International Conference on
Conference_Location :
Santa Fe, NM
Print_ISBN :
978-0-7695-3341-4
Electronic_ISBN :
978-0-7695-3422-0
DOI :
10.1109/AVSS.2008.77