A particle filter based sequential trajectory classifier for behavior analysis in video surveillance

Autor:	Carlo S. Regazzoni, Lucio Marcenaro, Vahid Bastani
Jazyk:	angličtina
Rok vydání:	2015
Předmět:	Computer science business.industry Probabilistic logic Behavior Analysis Video Surveillance On-line Trajectory Classification symbols.namesake Software 1707 Signal Processing symbols Computer vision Artificial intelligence business Particle filter Classifier (UML) Lagrangian
Zdroj:	ICIP
Popis:	The problem of behavior assessment in video surveillance is approached using trajectory classification. Lagrangian state dynamic is used for probabilistic modeling of trajectory patterns and an off-line parameter learning method for the model is proposed. For classification purpose, an on-line sequential maximum a posterior trajectory classifier is introduced based on particle filter. Finally, the performance of this method is evaluated using a traffic video data set.
Databáze:	OpenAIRE
Externí odkaz:	https://explore.openaire.eu/search/publication?articleId=doi_dedup___::15d1222886935b09163d3b2bf0b527cb http://hdl.handle.net/11567/840344 Zobrazit plný text záznamu