25 February 2005 Performance evaluation of real-time video content analysis systems in the CANDELA project
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Abstract
Partners of the CANDELA project are realizing a system for real-time image processing for traffic and video-surveillance applications. This system performs some segmentation, labels the extracted blobs and follows their track into the scene. We also address the problem of evaluating the results of such processes. We are developing a tool to generate and manage the results of the performance evaluation of VCA systems. This evaluation is done by comparison of the results of the global application and its components with a ground truth file generated manually. Both manually and automatically generated description files are formatted in XML. This descriptive markup language is then treated to assemble appropriately parts of the document and process this metadata. For a scientific purpose this tool will provide an objective measure of improvement and a mean to choose between competitive methods. In addition, it is a powerful tool for algorithm designers to measure the progress of their work at the different levels of the processing chain. For an industrial purpose this tool will assess both the accuracy of the VCA with an obvious marketing impact. We present the definition of the evaluation tool, its metrics and specific implementations designed for our applications.
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Xavier Desurmont, Rob Wijnhoven, Egbert Jaspers, Olivier Caignart, Mike Barais, Wouter Favoreel, and Jean-Francois Delaigle "Performance evaluation of real-time video content analysis systems in the CANDELA project", Proc. SPIE 5671, Real-Time Imaging IX, (25 February 2005); doi: 10.1117/12.598837; https://doi.org/10.1117/12.598837
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