Title
Semantic Annotation of Complex Human Scenes for Multimedia Surveillance
Abstract
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.
Year
DOI
Venue
2007
10.1007/978-3-540-74782-6_60
AI*IA
Keywords
Field
DocType
dynamic information,human behavior,human action,complex human scenes,deterministic modeling,abstraction process,semantic knowledge,conceptualized information,complex outdoor scene,semantic annotation,semantic content,multimedia surveillance system,fuzzy logic,computer vision
Semantic memory,Abstraction,Semantic annotation,Computer science,Fuzzy logic,Situation analysis,Formalism (philosophy),Multimedia
Conference
Volume
ISSN
Citations 
4733
0302-9743
3
PageRank 
References 
Authors
0.44
9
4
Name
Order
Citations
PageRank
Carles Fernández1223.01
Pau Baiget2443.93
Xavier Roca31087.53
Jordi Gonzalez461748.02