Roc Curves for Performance Evaluation of Video Sequences Processing Systems for Surveillance Applications

Performances evaluation of image processing intermediate results in video based surveillance systems is extremely important due to the variety of approaches to this task. In this paper, an approach based on the use of Receiver Operating Characteristics (ROC) curves in order to evaluate the performances of a vision complex system for surveillance purposes is presented. ROC curves have already been used in other research fields as comparison of edge detection algorithms or evaluation of artificial neural networks: in this case they are used in order to compare different parameters selections within a system for the localization of moving objects. Presented results show the possibility of using ROC curves as a mean for evaluation and comparison of video-based surveillance systems.

• Type: Conference
• Year: 1999
• Where: ICIP
• Authors: Franco Oberti, Andrea Teschioni, Carlo S. Regazzoni
• Keywords: ICIP 1999, Image Processing, ROC Curves, Video Based Surveillance, Video-based Surveillance Systems