International Journal of Computer Vision
Global Minimum for Active Contour Models: A Minimal Path Approach
International Journal of Computer Vision
Using Adaptive Tracking to Classify and Monitor Activities in a Site
CVPR '98 Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition
Application of the Self-Organizing Map to Trajectory Classification
VS '00 Proceedings of the Third IEEE International Workshop on Visual Surveillance (VS'2000)
Extraction and Clustering of Motion Trajectories in Video
ICPR '04 Proceedings of the Pattern Recognition, 17th International Conference on (ICPR'04) Volume 2 - Volume 02
Multi Feature Path Modeling for Video Surveillance
ICPR '04 Proceedings of the Pattern Recognition, 17th International Conference on (ICPR'04) Volume 2 - Volume 02
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
WACV-MOTION '05 Proceedings of the IEEE Workshop on Motion and Video Computing (WACV/MOTION'05) - Volume 2 - Volume 02
Personal authentication using digital retinal images
Pattern Analysis & Applications
A System for Learning Statistical Motion Patterns
IEEE Transactions on Pattern Analysis and Machine Intelligence
A Coarse-to-Fine Strategy for Vehicle Motion Trajectory Clustering
ICPR '06 Proceedings of the 18th International Conference on Pattern Recognition - Volume 01
On-line trajectory clustering for anomalous events detection
Pattern Recognition Letters
Detecting motion patterns via direction maps with application to surveillance
Computer Vision and Image Understanding
Detection of abnormal behaviors using a mixture of Von Mises distributions
AVSS '07 Proceedings of the 2007 IEEE Conference on Advanced Video and Signal Based Surveillance
Algorithm for registration of full Scanning Laser Ophthalmoscope video sequences
Computer Methods and Programs in Biomedicine
Learning semantic scene models from observing activity in visual surveillance
IEEE Transactions on Systems, Man, and Cybernetics, Part B: Cybernetics
IEEE Transactions on Image Processing
Semantic-Based Surveillance Video Retrieval
IEEE Transactions on Image Processing
Hierarchical framework for robust and fast multiple-target tracking in surveillance scenarios
Expert Systems with Applications: An International Journal
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Vision-based action recognition has multiple applications, mainly focused in video surveillance systems. The art of labeling each target behavior in crowded scenarios is a complicated field since usually we do not have visual confirmation of the parts of a target to infer its behavior. Thus, trajectory analysis becomes a good choice to try to infer knowledge about target movements. Most of the contributions to this field involve a training period in which we obtain information a priori about the environment, storing a dataset with all the possible usual routes. Based in the minimal path theory using geodesic active contours, we present a novel architecture where no initial information about the scene is needed, while it is possible to include it if necessary to specify constraints. Experimental results in two different application domains show the performance and flexibility of this method, being able to be used in multiple trajectory analysis problems.