This paper addresses the coordinated use of video and audio cues to capture and index surveillance events with multimodal labels. The focus of this paper is the development of a joint-sensor calibration technique that uses audio-visual observations to improve the calibration process. One significant feature of this approach is the ability to continuously check and update the calibration status of the sensor suite, making it resilient to independent drift in the individual sensors. We present scenarios in which this system is used to enhance surveillance.
History
Location
Honolulu, Hawaii
Open access
Yes
Start date
2007-04-15
End date
2007-04-20
ISBN-13
9781424407286
ISBN-10
1424407281
Language
eng
Publication classification
E1.1 Full written paper - refereed
Copyright notice
2007, IEEE
Title of proceedings
ICASSP 2007 : Proceedings of the IEEE International Conference on Acoustics, Speech and Signal Processing 2007