Scene-based event detection for baseball videos
Journal of Visual Communication and Image Representation
An Abandoned Object Detection System Based on Dual Background Segmentation
AVSS '09 Proceedings of the 2009 Sixth IEEE International Conference on Advanced Video and Signal Based Surveillance
Carried object detection using ratio histogram and its application to suspicious event analysis
IEEE Transactions on Circuits and Systems for Video Technology
Abnormal Event Analysis Using Patching Matching and Concentric Features
KES '09 Proceedings of the 13th International Conference on Knowledge-Based and Intelligent Information and Engineering Systems: Part II
Hierarchical image gathering technique for browsing surveillance camera images
Proceedings of the 2007 conference on Human interface: Part I
Multi-spectral fusion for surveillance systems
Computers and Electrical Engineering
Determining the best suited semantic events for cognitive surveillance
Expert Systems with Applications: An International Journal
A comprehensive study of visual event computing
Multimedia Tools and Applications
Adaptive model-based multi-person tracking
CIS'04 Proceedings of the First international conference on Computational and Information Science
MIS'05 Proceedings of the 11th international conference on Advances in Multimedia Information Systems
Effective distributed service architecture for ubiquitous video surveillance
Information Systems Frontiers
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Increased communication capabilities and automatic scene understanding allow human operators to simultaneously monitor multiple environments. Due to the amount of data to be processed in new surveillance systems, the human operator must be helped by automatic processing tools in the work of inspecting video sequences. In this paper, a novel approach allowing layered content-based retrieval of video-event shots referring to potentially interesting situations is presented. Interpretation of events is used for defining new video-event shot detection and indexing criteria. Interesting events refer to potentially dangerous situations: abandoned objects and predefined human events are considered in this paper. Video-event shot detection and indexing capabilities are used for online and offline content-based retrieval of scenes to be detected.