Adjustment of Surveillance Video Systems by a Performance Evaluation Function

Springer-Verlag Berlin Heidelberg
Publication Type:
Conference Proceeding
Artificial Intelligence and Knowledge Engineering Applications: A Bioinspired Approach - Lecture Notes in Computer Science Volume 3562 - Proceedings of First International Work-Conference on the Interplay Between Natural and Artificial Computation, 2005, 3562 pp. 499 - 508
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This paper proposes an evaluation metric for assessing the performance of a video tracking system. This metric is applied to adjust the parameters that regulates the video tracking system in order to improve the system perfomance. Thus, the automated optimization method is based on evolutionary computation techniques. The illustration of the process is carried out using three very different video sequences in which the evaluation function assesses trajectories of airplanes, cars or baggagetrucks in an airport surveillance application.
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