Bellotto, Nicola and Benfold, Ben and Harland, Hanno and Nagel, Hans-Hellmut and Pirlo, Nicola and Reid, Ian and Sommerlade, Eric and Zhao, Chuan (2012) Cognitive visual tracking and camera control. Computer Vision and Image Understanding, 116 (3). pp. 457-471. ISSN 1077-3142
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Full text URL: http://dx.doi.org/10.1016/j.cviu.2011.09.011
Cognitive visual tracking is the process of observing and understanding the behaviour of a moving person. This paper presents an efficient solution to extract, in real-time, high-level information from an observed scene, and generate the most appropriate commands for a set of pan-tilt-zoom (PTZ) cameras in a surveillance scenario. Such a high-level feedback control loop, which is the main novelty of our work, will serve to reduce uncertainties in the observed scene and to maximize the amount of information extracted from it. It is implemented with a distributed camera system using SQL tables as virtual communication channels, and Situation Graph Trees for knowledge representation, inference and high-level camera control. A set of experiments in a surveillance scenario show the effectiveness of our approach and its potential for real applications of cognitive vision.
|Keywords:||cognitive vision, human tracking, active cameras|
|Subjects:||G Mathematical and Computer Sciences > G700 Artificial Intelligence|
G Mathematical and Computer Sciences > G740 Computer Vision
|Divisions:||College of Science > School of Computer Science|
|Deposited By:||Nicola Bellotto|
|Deposited On:||09 Dec 2011 13:46|
|Last Modified:||04 Dec 2013 16:17|
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