From image sequences towards conceptual descriptions
Image and Vision Computing
“F-Limette” fuzzy logic programming integrating metric temporal extensions
Journal of Symbolic Computation - Special issue: executable temporal logics
Content-Based Image Retrieval at the End of the Early Years
IEEE Transactions on Pattern Analysis and Machine Intelligence
Semantic Annotation of Sports Videos
IEEE MultiMedia
Integration of Image Sequence Evaluation and Fuzzy Metric Temporal Logic Programming
KI '97 Proceedings of the 21st Annual German Conference on Artificial Intelligence: Advances in Artificial Intelligence
Multimedia surveillance systems
Proceedings of the third ACM international workshop on Video surveillance & sensor networks
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
Automatic Learning of Conceptual Knowledge in Image Sequences for Human Behavior Interpretation
IbPRIA '07 Proceedings of the 3rd Iberian conference on Pattern Recognition and Image Analysis, Part I
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A Multimedia Surveillance System (MSS) is considered for automatically retrieving semantic content from complex outdoor scenes, involving both human behavior and traffic domains. To characterize the dynamic information attached to detected objects, we consider a deterministic modeling of spatio-temporal features based on abstraction processes towards fuzzy logic formalism. A situational analysis over conceptualized information will not only allow us to describe human actions within a scene, but also to suggest possible interpretations of the behaviors perceived, such as situations involving thefts or dangers of running over. Towards this end, the different levels of semantic knowledge implied throughout the process are also classified into a proposed taxonomy.