Semi-supervised intelligent surveillance system for secure environments

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Conference Proceeding
IEEE International Symposium on Industrial Electronics, 2010, pp. 2815 - 2820
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This paper proposes a semi-supervised intelligent visual surveillance system to exploit the information from multi-camera networks for the monitoring of people and vehicles. Modules are proposed to perform critical surveillance tasks including: the management and calibration of cameras within a multi-camera network; tracking of objects across multiple views; recognition of people utilising biometrics and in particular soft-biometrics; the monitoring of crowds; and activity recognition. Recent advances in these computer vision modules and capability gaps in surveillance technology are also highlighted. © 2010 IEEE.
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