From image sequences towards conceptual descriptions
Image and Vision Computing
Communications of the ACM
“F-Limette” fuzzy logic programming integrating metric temporal extensions
Journal of Symbolic Computation - Special issue: executable temporal logics
Dynamically altering agent behaviors using natural language instructions
AGENTS '00 Proceedings of the fourth international conference on Autonomous agents
Learning Patterns of Activity Using Real-Time Tracking
IEEE Transactions on Pattern Analysis and Machine Intelligence
A Bayesian Computer Vision System for Modeling Human Interactions
IEEE Transactions on Pattern Analysis and Machine Intelligence
Discovery and Segmentation of Activities in Video
IEEE Transactions on Pattern Analysis and Machine Intelligence
Learning variable-length Markov models of behavior
Computer Vision and Image Understanding - Modeling people toward vision-based underatanding of a person's shape, appearance, and movement
International Journal of Computer Vision
Where Are the Ball and Players? Soccer Game Analysis with Color Based Tracking and Image Mosaick
ICIAP '97 Proceedings of the 9th International Conference on Image Analysis and Processing-Volume II
Steps toward a cognitive vision system
AI Magazine
A survey on tree edit distance and related problems
Theoretical Computer Science
Noise Estimation from a Single Image
CVPR '06 Proceedings of the 2006 IEEE Computer Society Conference on Computer Vision and Pattern Recognition - Volume 1
Real-time generation of augmented video sequences by background tracking: Research Articles
Computer Animation and Virtual Worlds
On-line trajectory clustering for anomalous events detection
Pattern Recognition Letters
Towards intelligent camera networks: a virtual vision approach
ICCCN '05 Proceedings of the 14th International Conference on Computer Communications and Networks
Recognition of human behavior by space-time silhouette characterization
Pattern Recognition Letters
Mixed reality participants in smart meeting rooms and smart home environments
Personal and Ubiquitous Computing
"Move the couch where?": developing an augmented reality multimodal interface
ISMAR '06 Proceedings of the 5th IEEE and ACM International Symposium on Mixed and Augmented Reality
Parallel Tracking and Mapping for Small AR Workspaces
ISMAR '07 Proceedings of the 2007 6th IEEE and ACM International Symposium on Mixed and Augmented Reality
Understanding dynamic scenes based on human sequence evaluation
Image and Vision Computing
Generation of augmented video sequences combining behavioral animation and multi-object tracking
Computer Animation and Virtual Worlds
Recognition of human activities using SVM multi-class classifier
Pattern Recognition Letters
CLEAR'06 Proceedings of the 1st international evaluation conference on Classification of events, activities and relationships
Capture and representation of human walking in live video sequences
IEEE Transactions on Multimedia
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The fields of segmentation, tracking and behavior analysis demand for challenging video resources to test, in a scalable manner, complex scenarios like crowded environments or scenes with high semantics. Nevertheless, existing public databases cannot scale the presence of appearing agents, which would be useful to study long-term occlusions and crowds. Moreover, creating these resources is expensive and often too particularized to specific needs. We propose an augmented reality framework to increase the complexity of image sequences in terms of occlusions and crowds, in a scalable and controllable manner. Existing datasets can be increased with augmented sequences containing virtual agents. Such sequences are automatically annotated, thus facilitating evaluation in terms of segmentation, tracking, and behavior recognition. In order to easily specify the desired contents, we propose a natural language interface to convert input sentences into virtual agent behaviors. Experimental tests and validation in indoor, street, and soccer environments are provided to show the feasibility of the proposed approach in terms of robustness, scalability, and semantics.