Video surveillance is anticipated by many to become a strong market for advanced computer vision software. Applications in this area include monitoring activities of vehicles, people, machinery, and animals. Papers are invited on various aspects of real-time video surveillance and security systems.
Performance Evaluation Criterion for Characterizing Video-Surveillance Systems
β Scribed by Franco Oberti; Elena Stringa; Gianni Vernazza
- Publisher
- Elsevier Science
- Year
- 2001
- Tongue
- English
- Weight
- 934 KB
- Volume
- 7
- Category
- Article
- ISSN
- 1077-2014
No coin nor oath required. For personal study only.
β¦ Synopsis
I
n the last decade, video surveillance systems have been developed to guard remote environments in order to detect and prevent dangerous situations. In general, such systems are very complex and their performances rely strongly on the values taken on by the parameters regulating the behavior of surveillance algorithms. This makes it difficult to compare performances to select the most suitable system for the problem considered. Moreover, parameters are set during the installation phase, but a good selection requires time and experience. In this paper, we present an evaluation method for characterizing video-surveillance systems in order to provide an easy way of system installation. The proposed procedure is based on the definition of Receiver Operating Characteristic (ROC) curves traced for different parameter sets and for different system working conditions. Examples are given that concern an indoor video-based surveillance system for detecting, recognizing and tracking moving objects; the system has been characterized and evaluated for different scenarios. Results prove the validation of the proposed evaluation procedure though a comparison of the performances obtained in a laboratory with the ones achieved in real working environments, after system installation following the guidelines provided by the proposed methodology.
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