Localizing volumetric motion for action recognition in realistic videos
MM '09 Proceedings of the 17th ACM international conference on Multimedia
Learning People Trajectories Using Semi-directional Statistics
AVSS '09 Proceedings of the 2009 Sixth IEEE International Conference on Advanced Video and Signal Based Surveillance
Real-time trajectory estimation in mobile ad hoc networks
Proceedings of the 12th ACM international conference on Modeling, analysis and simulation of wireless and mobile systems
RVM-based human action classification in crowd through projection and star skeletonization
Journal on Image and Video Processing - Special issue on video-based modeling, analysis, and recognition of human motion
Proceedings of the 2nd ACM workshop on Multimedia in forensics, security and intelligence
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
Optimal-flow minimum-cost correspondence assignment in particle flow tracking
Computer Vision and Image Understanding
Stochastic approximation for background modelling
Computer Vision and Image Understanding
Motion pattern extraction and event detection for automatic visual surveillance
Journal on Image and Video Processing - Special issue on advanced video-based surveillance
Clustering of trajectories in video surveillance using growing neural gas
IWINAC'11 Proceedings of the 4th international conference on Interplay between natural and artificial computation - Volume Part I
Detecting customers' buying events on a real-life database
CAIP'11 Proceedings of the 14th international conference on Computer analysis of images and patterns - Volume Part I
Improved gaussian mixture model for the task of object tracking
CAIP'11 Proceedings of the 14th international conference on Computer analysis of images and patterns - Volume Part II
Editors Choice Article: Tracking highly correlated targets through statistical multiplexing
Image and Vision Computing
Deriving implicit indoor scene structure with path analysis
Proceedings of the 3rd ACM SIGSPATIAL International Workshop on Indoor Spatial Awareness
Event detection in underwater domain by exploiting fish trajectory clustering
Proceedings of the 1st ACM international workshop on Multimedia analysis for ecological data
Intelligent multi-camera video surveillance: A review
Pattern Recognition Letters
Learning common behaviors from large sets of unlabeled temporal series
Image and Vision Computing
Coherent filtering: detecting coherent motions from crowd clutters
ECCV'12 Proceedings of the 12th European conference on Computer Vision - Volume Part II
ECCV'12 Proceedings of the 12th European conference on Computer Vision - Volume Part IV
Pedestrian analysis and counting system with videos
ICONIP'12 Proceedings of the 19th international conference on Neural Information Processing - Volume Part V
Pattern Recognition Letters
Cross-domain traffic scene understanding by motion model transfer
Proceedings of the 4th ACM/IEEE international workshop on Analysis and retrieval of tracked events and motion in imagery stream
International Journal of Computer Vision
Traffic event classification at intersections based on the severity of abnormality
Machine Vision and Applications
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This paper presents a survey of trajectory-based activity analysis for visual surveillance. It describes techniques that use trajectory data to define a general set of activities that are applicable to a wide range of scenes and environments. Events of interest are detected by building a generic topographical scene description from underlying motion structure as observed over time. The scene topology is automatically learned and is distinguished by points of interest and motion characterized by activity paths. The methods we review are intended for real-time surveillance through definition of a diverse set of events for further analysis triggering, including virtual fencing, speed profiling, behavior classification, anomaly detection, and object interaction.