From image sequences towards conceptual descriptions
Image and Vision Computing
Interpreting a dynamic and uncertain world: high-level vision
Artificial Intelligence Review
Knowledge engineering and management: the CommonKADS methodology
Knowledge engineering and management: the CommonKADS methodology
Towards Computer Vision with Description Logics: Some Recent Progress
SPELMG '99 Proceedings of the Integration of Speech and Image Understanding
Video Surveillance of Interactions
VS '99 Proceedings of the Second IEEE Workshop on Visual Surveillance
Video Sequence Interpretation for Visual Surveillance
VS '00 Proceedings of the Third IEEE International Workshop on Visual Surveillance (VS'2000)
Reconstructing force-dynamic models from video sequences
Artificial Intelligence
Steps toward a cognitive vision system
AI Magazine
Video-based event recognition: activity representation and probabilistic recognition methods
Computer Vision and Image Understanding - Special issue on event detection in video
A new video segmentation method of moving objects based on blob-level knowledge
Pattern Recognition Letters
Pattern Recognition Letters
Segmentation of Moving Objects with Information Feedback Between Description Levels
IWINAC '07 Proceedings of the 2nd international work-conference on Nature Inspired Problem-Solving Methods in Knowledge Engineering: Interplay Between Natural and Artificial Computation, Part II
Navigating through logic-based scene models for high-level scene interpretations
ICVS'03 Proceedings of the 3rd international conference on Computer vision systems
Knowledge and Event-Based System for Video-Surveillance Tasks
IWINAC '09 Proceedings of the 3rd International Work-Conference on The Interplay Between Natural and Artificial Computation: Part I: Methods and Models in Artificial and Natural Computation. A Homage to Professor Mira's Scientific Legacy
A Block-Based Human Model for Visual Surveillance
IWINAC '09 Proceedings of the 3rd International Work-Conference on The Interplay Between Natural and Artificial Computation: Part II: Bioinspired Applications in Artificial and Natural Computation
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In this work we propose a general top-down feedback scheme between adjacent description levels to interpret video sequences. This scheme distinguishes two types of feedback: repair-oriented feedback and focus-oriented feedback. With the first it is possible to improve the system's performance and produce more reliable and consistent information, and with the second it is possible to adjust the computational load to match the aims. Finally, the general feedback scheme is used in different examples for a visual surveillance application which improved the final result of each description level by using the information in the higher adjacent level.