An architecture for multiple perspective interactive video
Proceedings of the third ACM international conference on Multimedia
Tracking Human Motion in Structured Environments Using a Distributed-Camera System
IEEE Transactions on Pattern Analysis and Machine Intelligence
Learning Patterns of Activity Using Real-Time Tracking
IEEE Transactions on Pattern Analysis and Machine Intelligence
Monitoring Activities from Multiple Video Streams: Establishing a Common Coordinate Frame
IEEE Transactions on Pattern Analysis and Machine Intelligence
W4: Real-Time Surveillance of People and Their Activities
IEEE Transactions on Pattern Analysis and Machine Intelligence
Event Detection and Analysis from Video Streams
IEEE Transactions on Pattern Analysis and Machine Intelligence
Video Sequence Interpretation for Visual Surveillance
VS '00 Proceedings of the Third IEEE International Workshop on Visual Surveillance (VS'2000)
Application of the Self-Organizing Map to Trajectory Classification
VS '00 Proceedings of the Third IEEE International Workshop on Visual Surveillance (VS'2000)
Hidden Markov Model Parsing of Video Programs
ICASSP '97 Proceedings of the 1997 IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP '97) -Volume 4 - Volume 4
Tracking Multiple People with a Multi-Camera System
WOMOT '01 Proceedings of the IEEE Workshop on Multi-Object Tracking (WOMOT'01)
View independent vehicle/person classification
Proceedings of the ACM 2nd international workshop on Video surveillance & sensor networks
Event Detection by Eigenvector Decomposition Using Object and Frame Features
CVPRW '04 Proceedings of the 2004 Conference on Computer Vision and Pattern Recognition Workshop (CVPRW'04) Volume 7 - Volume 07
An Ontology for Video Event Representation
CVPRW '04 Proceedings of the 2004 Conference on Computer Vision and Pattern Recognition Workshop (CVPRW'04) Volume 7 - Volume 07
Robust and Efficient Foreground Analysis for Real-Time Video Surveillance
CVPR '05 Proceedings of the 2005 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR'05) - Volume 1 - Volume 01
Detecting Irregularities in Images and in Video
ICCV '05 Proceedings of the Tenth IEEE International Conference on Computer Vision (ICCV'05) Volume 1 - Volume 01
Video Behaviour Profiling and Abnormality Detection without Manual Labelling
ICCV '05 Proceedings of the Tenth IEEE International Conference on Computer Vision - Volume 2
Beyond Tracking: Modelling Activity and Understanding Behaviour
International Journal of Computer Vision
CVPRW '06 Proceedings of the 2006 Conference on Computer Vision and Pattern Recognition Workshop
Robust Real-Time Unusual Event Detection using Multiple Fixed-Location Monitors
IEEE Transactions on Pattern Analysis and Machine Intelligence
Automatic video interpretation: a novel algorithm for temporal scenario recognition
IJCAI'03 Proceedings of the 18th international joint conference on Artificial intelligence
Detecting unusual activity in video
CVPR'04 Proceedings of the 2004 IEEE computer society conference on Computer vision and pattern recognition
Consistent labeling of tracked objects in multiple cameras with overlapping fields of view
IEEE Transactions on Pattern Analysis and Machine Intelligence
Real-time video-shot detection for scene surveillance applications
IEEE Transactions on Image Processing
An informatics-based approach to object tracking for distributed live video computing
Multimedia Tools and Applications
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Detecting events of interest from video sequences, and searching and retrieving events from video databases are important and challenging problems. Event of interest is a very general term, since events of interest can vary significantly among different applications and users. A system that can only detect and/or retrieve a finite set of predefined events will find limited use. Thus, the event detection and retrieval problems introduce additional challenges including providing the user with flexibility to specify customized events with varying complexity, and communicating user-defined events to a system in a generic way. This paper presents a spatio-temporal event detection system that lets users specify semantically high-level and composite events, and then detects their occurrences automatically. Events can be defined on a single camera view or across multiple camera views. In addition to extracting information from videos, detecting customized events, and generating real-time alerts, the proposed system uses the extracted information in the search, retrieval, data management and investigation context. Generated event meta-data is mapped into tables in a relational database against which queries may be launched. It is therefore possible to retrieve events based on various attributes. Moreover, a variety of statistics can be computed on the event data. Thus, the presented system provides capabilities of a fully integrated smart system.