@inbook {12507,
	title = {Semantic Video Content Analysis},
	booktitle = {Video Search and MiningVideo Search and Mining},
	series = {Studies in Computational Intelligence},
	volume = {287},
	year = {2010},
	month = {2010///},
	pages = {147 - 176},
	publisher = {Springer Berlin / Heidelberg},
	organization = {Springer Berlin / Heidelberg},
	abstract = {In recent years, there has been significant interest in the area of automatically recognizing activities occurring in a camera{\textquoteright}s field of view and detecting abnormalities. The practical applications of such a system could include airport tarmac monitoring, or monitoring of activities in secure installations, to name a few. The difficulty of the problem is compounded by several factors: detection of primitive actions in spite of changes in illumination, occlusions and noise; complexmultiagent interaction;mapping of higher-level activities to lower-level primitive actions; variations in which the same semantic activity can be performed. In this chapter, we develop a theory of semantic activity analysis that addresses each of these issues in an integrated manner. Specifically, we discuss ontological representations of knowledge of a domain, integration of domain knowledge and statistical models for achieving semantic mappings, definition of logical languages to describe activities, and design of frameworks which integrate all the above aspects in a coherent way, thus laying the foundations of effective Semantic Video Content Analysis systems.},
	isbn = {978-3-642-12899-8},
	url = {http://dx.doi.org/10.1007/978-3-642-12900-1_6},
	author = {Albanese,Massimiliano and Turaga,Pavan and Chellapa, Rama and Pugliese,Andrea and Subrahmanian,V.},
	editor = {Schonfeld,Dan and Shan,Caifeng and Tao,Dacheng and Wang,Liang}
}
