Incremental and adaptive abnormal behaviour detection
Computer Vision and Image Understanding
Modelling of Behavioural Patterns for Abnormality Detection in the Context of Lifestyle Reassurance
CIARP '08 Proceedings of the 13th Iberoamerican congress on Pattern Recognition: Progress in Pattern Recognition, Image Analysis and Applications
SIFT-Bag kernel for video event analysis
MM '08 Proceedings of the 16th ACM international conference on Multimedia
Video event detection using motion relativity and visual relatedness
MM '08 Proceedings of the 16th ACM international conference on Multimedia
Automatic player detection, labeling and tracking in broadcast soccer video
Pattern Recognition Letters
Video event segmentation and visualisation in non-linear subspace
Pattern Recognition Letters
Detecting Abnormal Events via Hierarchical Dirichlet Processes
PAKDD '09 Proceedings of the 13th Pacific-Asia Conference on Advances in Knowledge Discovery and Data Mining
Detecting abnormal human behaviour using multiple cameras
Signal Processing
HMM-Based Defect Localization in Wire Ropes --- A New Approach to Unusual Subsequence Recognition
Proceedings of the 31st DAGM Symposium on Pattern Recognition
A dynamic hierarchical clustering method for trajectory-based unusual video event detection
IEEE Transactions on Image Processing
Abnormal activity recognition based on HDP-HMM models
IJCAI'09 Proceedings of the 21st international jont conference on Artifical intelligence
MAPACo-training: a novel online learning algorithm of behavior models
ACCV'07 Proceedings of the 8th Asian conference on Computer vision - Volume Part I
A double layer background model to detect unusual events
ACIVS'07 Proceedings of the 9th international conference on Advanced concepts for intelligent vision systems
Automatic decision detection in meeting speech
MLMI'07 Proceedings of the 4th international conference on Machine learning for multimodal interaction
Rough-based semi-supervised outlier detection
FSKD'09 Proceedings of the 6th international conference on Fuzzy systems and knowledge discovery - Volume 1
Semi-supervised outlier detection based on fuzzy rough C-means clustering
Mathematics and Computers in Simulation
Visual event recognition using decision trees
Multimedia Tools and Applications
On community outliers and their efficient detection in information networks
Proceedings of the 16th ACM SIGKDD international conference on Knowledge discovery and data mining
Knowledge based activity recognition with dynamic bayesian network
ECCV'10 Proceedings of the 11th European conference on Computer vision: Part VI
ACM Transactions on Intelligent Systems and Technology (TIST)
A new image-based method for event detection and extraction of noisy hydrophone data
ICIAR'11 Proceedings of the 8th international conference on Image analysis and recognition - Volume Part II
A comprehensive study of visual event computing
Multimedia Tools and Applications
Robust data clustering by learning multi-metric Lq-norm distances
Expert Systems with Applications: An International Journal
Multi-scale and real-time non-parametric approach for anomaly detection and localization
Computer Vision and Image Understanding
First steps to an audio ontology-based classifier for telemedicine
ADMA'06 Proceedings of the Second international conference on Advanced Data Mining and Applications
Intelligent video surveillance system: 3-tier context-aware surveillance system with metadata
Multimedia Tools and Applications
OS-Guard: on-site signature based framework for multimedia surveillance data management
Multimedia Tools and Applications
Abnormal event detection via multi-instance dictionary learning
IDEAL'12 Proceedings of the 13th international conference on Intelligent Data Engineering and Automated Learning
Towards the detection of unusual temporal events during activities using HMMs
Proceedings of the 2012 ACM Conference on Ubiquitous Computing
Detecting interesting events using unsupervised density ratio estimation
ECCV'12 Proceedings of the 12th international conference on Computer Vision - Volume Part III
A method of abnormal habits recognition in intelligent space
Engineering Applications of Artificial Intelligence
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We address the problem of temporal unusual event detection. Unusual events are characterized by a number of features (rarity, unexpectedness, and relevance) that limit the application of traditional supervised model-based approaches. We propose a semi-supervised adapted Hidden Markov Model (HMM) framework, in which usual event models are first learned from a large amount of (commonly available) training data, while unusual event models are learned by Bayesian adaptation in an unsupervised manner. The proposed framework has an iterative structure, which adapts a new unusual event model at each iteration. We show that such a framework can address problems due to the scarcity of training data and the difficulty in pre-defining unusual events. Experiments on audio, visual, and audio-visual data streams illustrate its effectiveness, compared with both supervised and unsupervised baseline methods.