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
Journal of Mathematical Imaging and Vision
Multi-spectral fusion for surveillance systems
Computers and Electrical Engineering
Detection of user-defined, semantically high-level, composite events, and retrieval of event queries
Multimedia Tools and Applications
Cooperative object tracking and composite event detection with wireless embedded smart cameras
IEEE Transactions on Image Processing - Special section on distributed camera networks: sensing, processing, communication, and implementation
A multi-agent architecture for supporting distributed normality-based intelligent surveillance
Engineering Applications of Artificial Intelligence
Detecting moving targets from traffic video based on the dynamic background model
Transactions on edutainment VI
Event-Based surveillance system for efficient monitoring
PCM'04 Proceedings of the 5th Pacific Rim Conference on Advances in Multimedia Information Processing - Volume Part II
MIS'05 Proceedings of the 11th international conference on Advances in Multimedia Information Systems
Content-based retrieval of video surveillance scenes
MRCS'06 Proceedings of the 2006 international conference on Multimedia Content Representation, Classification and Security
Face occlusion detection for automated teller machine surveillance
PSIVT'06 Proceedings of the First Pacific Rim conference on Advances in Image and Video Technology
OS-Guard: on-site signature based framework for multimedia surveillance data management
Multimedia Tools and Applications
Effective distributed service architecture for ubiquitous video surveillance
Information Systems Frontiers
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A surveillance system with automatic video-shot detection and indexing capabilities is presented. The proposed system aims at detecting the presence of abandoned objects in a guarded environment and at automatically performing online semantic video segmentation in order to facilitate the human operator's task of retrieving the cause of an alarm. The former task is performed by operating image segmentation based on temporal rank-order filtering, followed by classification in order to reduce false alarms. The latter task is performed by operating temporal video segmentation when an alarm is detected. In the clips of interest, the key frame is the one depicting a person leaving a dangerous object, and is determined on the basis of a feature indicating the movement around the dangerous region. Experimental results are reported in terms of static region detection, classification, clip and key-frame detection errors versus different levels of complexity of the guarded environment, in order to establish the performance that can be expected from the system in different situations