Information Retrieval
Performance Evaluation of Object Detection Algorithms
ICPR '02 Proceedings of the 16 th International Conference on Pattern Recognition (ICPR'02) Volume 3 - Volume 3
Analysis of Pixel-Level Algorithms for Video Surveillance Applications
ICIAP '01 Proceedings of the 11th International Conference on Image Analysis and Processing
Performance Evaluation Metrics for Motion Detection and Tracking
ICPR '04 Proceedings of the Pattern Recognition, 17th International Conference on (ICPR'04) Volume 4 - Volume 04
Towards Perceptually Driven Segmentation Evaluation Metrics
CVPRW '04 Proceedings of the 2004 Conference on Computer Vision and Pattern Recognition Workshop (CVPRW'04) Volume 4 - Volume 04
Perceptually-weighted evaluation criteria for segmentation masks in video sequences
IEEE Transactions on Image Processing
Interactive feedback for video tracking using a hybrid maximum likelihood similarity measure
HCI'07 Proceedings of the 2007 IEEE international conference on Human-computer interaction
Modeling and assessing quality of information in multisensor multimedia monitoring systems
ACM Transactions on Multimedia Computing, Communications, and Applications (TOMCCAP)
Logic-based trajectory evaluation in videos
KI'10 Proceedings of the 33rd annual German conference on Advances in artificial intelligence
A rule-based event detection system for real-life underwater domain
Machine Vision and Applications
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Majority of visual surveillance algorithms rely on effective and accurate motion detection.However,most evaluation techniques described in literature do not address the complexity and range of the issues which underpin the design of good evaluation methodology.In this paper we explore the problems associated with optimising the operating point of motion detection algorithms and objective performance evaluation. We emphasise advantages of object-based approach, examine problems associated with ROC optimisation and propose a solution based on F-measure optimisation.Finally, we describe a motivated and comprehensive methodology for evaluation of motion detection within the wider context of a surveillance system.