FPGA-Based Anomalous Trajectory Detection Using SOFM
ARC '09 Proceedings of the 5th International Workshop on Reconfigurable Computing: Architectures, Tools and Applications
Trajectory-based handball video understanding
Proceedings of the ACM International Conference on Image and Video Retrieval
Color based tracing in real-life surveillance data
Transactions on data hiding and multimedia security V
Goal-based trajectory analysis for unusual behaviour detection in intelligent surveillance
Image and Vision Computing
Anomalous video event detection using spatiotemporal context
Computer Vision and Image Understanding
A new dissimilarity measure for trajectories with applications in anomaly detection
CIARP'10 Proceedings of the 15th Iberoamerican congress conference on Progress in pattern recognition, image analysis, computer vision, and applications
Detecting anomalies in people's trajectories using spectral graph analysis
Computer Vision and Image Understanding
Intent inference via syntactic tracking
Digital Signal Processing
Unsupervised video surveillance
ACCV'10 Proceedings of the 2010 international conference on Computer vision - Volume Part I
Multicamera video summarization from optimal reconstruction
ACCV'10 Proceedings of the 2010 international conference on Computer vision - Volume Part I
The retrieval of motion event by associations of temporal frequent pattern growth
Future Generation Computer Systems
Learning common behaviors from large sets of unlabeled temporal series
Image and Vision Computing
SuperFloxels: a mid-level representation for video sequences
ECCV'12 Proceedings of the 12th international conference on Computer Vision - Volume Part III
Detecting interesting events using unsupervised density ratio estimation
ECCV'12 Proceedings of the 12th international conference on Computer Vision - Volume Part III
Iterative hypothesis testing for multi-object tracking with noisy/missing appearance features
ACCV'12 Proceedings of the 11th international conference on Computer Vision - Volume 2
Computer Vision and Image Understanding
Multicamera video summarization and anomaly detection from activity motifs
ACM Transactions on Sensor Networks (TOSN)
Online detection of abnormal events in video streams
Journal of Electrical and Computer Engineering
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During the last years, the task of automatic event analysis in video sequences has gained an increasing attention among the research community. The application domains are disparate, ranging from video surveillance to automatic video annotation for sport videos or TV shots. Whatever the application field, most of the works in event analysis are based on two main approaches: the former based on explicit event recognition, focused on finding high-level, semantic interpretations of video sequences, and the latter based on anomaly detection. This paper deals with the second approach, where the final goal is not the explicit labeling of recognized events, but the detection of anomalous events differing from typical patterns. In particular, the proposed work addresses anomaly detection by means of trajectory analysis, an approach with several application fields, most notably video surveillance and traffic monitoring. The proposed approach is based on single-class support vector machine (SVM) clustering, where the novelty detection SVM capabilities are used for the identification of anomalous trajectories. Particular attention is given to trajectory classification in absence of a priori information on the distribution of outliers. Experimental results prove the validity of the proposed approach.