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.
CitationFernández, Carles; Baiget, Pau; Roca, F. Xavier; Gonzàlez, Jordi. "Semantic annotation of complex human scenes for multimedia surveillance". 10th Congress of the Italian Association for Artificial Intelligence (AI*IA ), Roma, Italia, 2007. A: Lecture Notes in Computer Science, vol. 4733. Berlin, Alemanya: Springer, 2007, p. 698-709.
All rights reserved. This work is protected by the corresponding intellectual and industrial property rights. Without prejudice to any existing legal exemptions, reproduction, distribution, public communication or transformation of this work are prohibited without permission of the copyright holder. If you wish to make any use of the work not provided for in the law, please contact: email@example.com