Detecting irregularity in videos using kernel estimation and KD trees
MULTIMEDIA '06 Proceedings of the 14th annual ACM international conference on Multimedia
Visual attention detection in video sequences using spatiotemporal cues
MULTIMEDIA '06 Proceedings of the 14th annual ACM international conference on Multimedia
A survey of advances in vision-based human motion capture and analysis
Computer Vision and Image Understanding - Special issue on modeling people: Vision-based understanding of a person's shape, appearance, movement, and behaviour
A general method for human activity recognition in video
Computer Vision and Image Understanding - Special issue on modeling people: Vision-based understanding of a person's shape, appearance, movement, and behaviour
Detecting Irregularities in Images and in Video
International Journal of Computer Vision
Proceedings of the 6th ACM international conference on Image and video retrieval
Local velocity-adapted motion events for spatio-temporal recognition
Computer Vision and Image Understanding
Perceptual image representation
Journal on Image and Video Processing
Visual inference of human emotion and behaviour
Proceedings of the 9th international conference on Multimodal interfaces
Activity based surveillance video content modelling
Pattern Recognition
Incremental and adaptive abnormal behaviour detection
Computer Vision and Image Understanding
Unsupervised Learning of Human Action Categories Using Spatial-Temporal Words
International Journal of Computer Vision
Seeing the Invisible and Predicting the Unexpected
IbPRIA '07 Proceedings of the 3rd Iberian conference on Pattern Recognition and Image Analysis, Part I
A Learning Method of Detecting Anomalous Pedestrian
ADMA '08 Proceedings of the 4th international conference on Advanced Data Mining 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
Action video retrieval based on atomic action vocabulary
MIR '08 Proceedings of the 1st ACM international conference on Multimedia information retrieval
Categorizing bi-object video activities using bag of segments and causality features
VNBA '08 Proceedings of the 1st ACM workshop on Vision networks for behavior analysis
Video event segmentation and visualisation in non-linear subspace
Pattern Recognition Letters
Image Feature Extraction Using Gradient Local Auto-Correlations
ECCV '08 Proceedings of the 10th European Conference on Computer Vision: Part I
Navigational strategies in behaviour modelling
Artificial Intelligence
Periodicity estimation of Dynamic Textures
International Journal of Information and Communication Technology
Relative Influence of Bottom-Up and Top-Down Attention
Attention in Cognitive Systems
International Journal of Computer Vision
Trajectory Modeling Using Mixtures of Vector Fields
IbPRIA '09 Proceedings of the 4th Iberian Conference on Pattern Recognition and Image Analysis
Abnormal Behavior Recognition Using Self-Adaptive Hidden Markov Models
ICIAR '09 Proceedings of the 6th International Conference on Image Analysis and Recognition
Spatiotemporal saliency for video classification
Image Communication
A model change detection approach to dynamic scene modeling
AVSS '09 Proceedings of the 2009 Sixth IEEE International Conference on Advanced Video and Signal Based Surveillance
COMPSAC '09 Proceedings of the 2009 33rd Annual IEEE International Computer Software and Applications Conference - Volume 02
IEEE Transactions on Circuits and Systems for Video Technology
Hierarchical space-time model enabling efficient search for human actions
IEEE Transactions on Circuits and Systems for Video Technology
Group Action Recognition Using Space-Time Interest Points
ISVC '09 Proceedings of the 5th International Symposium on Advances in Visual Computing: Part II
Attention monitoring for music contents based on analysis of signal-behavior structures
ACCV'07 Proceedings of the 8th Asian conference on Computer vision - Volume Part I
Combining models of pose and dynamics for human motion recognition
ISVC'07 Proceedings of the 3rd international conference on Advances in visual computing - Volume Part II
Semi-latent Dirichlet allocation: a hierarchical model for human action recognition
Proceedings of the 2nd conference on Human motion: understanding, modeling, capture and animation
Recognizing activities with multiple cues
Proceedings of the 2nd conference on Human motion: understanding, modeling, capture and animation
Detecting contextual anomalies of crowd motion in surveillance video
ICIP'09 Proceedings of the 16th IEEE international conference on Image processing
Detection of user-defined, semantically high-level, composite events, and retrieval of event queries
Multimedia Tools and Applications
Human action recognition using ordinal measure of accumulated motion
EURASIP Journal on Advances in Signal Processing - Special issue on video analysis for human behavior understanding
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
Discriminative space-time voting for joint recognition and localization of actions.
Proceedings of the 2nd international workshop on Social signal processing
Novel kernel-based recognizers of human actions
EURASIP Journal on Advances in Signal Processing - Special issue on video analysis for human behavior understanding
Robust sequence alignment for actor-object interaction recognition: Discovering actor-object states
Computer Vision and Image Understanding
A survey of vision-based methods for action representation, segmentation and recognition
Computer Vision and Image Understanding
Anomalous video event detection using spatiotemporal context
Computer Vision and Image Understanding
Vision-based contingency detection
Proceedings of the 6th international conference on Human-robot interaction
Automatic workflow monitoring in industrial environments
ACCV'10 Proceedings of the 10th Asian conference on Computer vision - Volume Part I
Hierarchical visual event pattern mining and its applications
Data Mining and Knowledge Discovery
Human behavior clustering for anomaly detection
Frontiers of Computer Science in China
Semantic classification of human behaviors in video surveillance systems
WSEAS Transactions on Computers
A suspicious behaviour detection using a context space model for smart surveillance systems
Computer Vision and Image Understanding
Selective spatio-temporal interest points
Computer Vision and Image Understanding
Adaptive integration of multiple cues for contingency detection
HBU'11 Proceedings of the Second international conference on Human Behavior Unterstanding
Anomalistic sequence detection
International Journal of Intelligent Information and Database Systems
OS-Guard: on-site signature based framework for multimedia surveillance data management
Multimedia Tools and Applications
Non-local spatial redundancy reduction for bottom-up saliency estimation
Journal of Visual Communication and Image Representation
Unsupervised temporal commonality discovery
ECCV'12 Proceedings of the 12th European conference on Computer Vision - Volume Part IV
Abnormal event detection in crowded scenes using sparse representation
Pattern Recognition
Workload resampling for performance evaluation of parallel job schedulers
Proceedings of the 4th ACM/SPEC International Conference on Performance Engineering
A probabilistic 3d model retrieval system using sphere image
ACCV'12 Proceedings of the 11th Asian conference on Computer Vision - Volume Part I
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We address the problem of detecting irregularities in visual data, e.g., detecting suspicious behaviors in video sequences, or identifying salient patterns in images. The term "irregular" depends on the context in which the "regular" or "valid" are defined. Yet, it is not realistic to expect explicit definition of all possible valid configurations for a given context. We pose the problem of determining the validity of visual data as a process of constructing a puzzle: We try to compose a new observed image region or a new video segment ("the query") using chunks of data ("pieces of puzzle") extracted from previous visual examples ("the database"). Regions in the observed data which can be composed using large contiguous chunks of data from the database are considered very likely, whereas regions in the observed data which cannot be composed from the database (or can be composed, but only using small fragmented pieces) are regarded as unlikely/suspicious. The problem is posed as an inference process in a probabilistic graphical model. We show applications of this approach to identifying saliency in images and video, and for suspicious behavior recognition.