DocumentCode :
2076053
Title :
Attribute Grammar-Based Event Recognition and Anomaly Detection
Author :
Joo, Seong-Wook ; Chellappa, Rama
Author_Institution :
University of Maryland
fYear :
2006
fDate :
17-22 June 2006
Firstpage :
107
Lastpage :
107
Abstract :
We propose to use attribute grammars for recognizing normal events and detecting abnormal events in a video. Attribute grammars can describe constraints on features (attributes) in addition to the syntactic structure of the input. Events are recognized using an extension of the Earley parser that handles attributes and concurrent event threads. Abnormal events are detected when the input does not follow syntax of the grammar or the attributes do not satisfy the constraints in the attribute grammar to some degree. We demonstrate the effectiveness of our method for the task of recognizing normal events and detecting anomalies in a parking lot.
Keywords :
Automation; Computer science; Error correction; Event detection; Hidden Markov models; Pattern recognition; Prototypes; Statistics; Stochastic processes; Yarn;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Computer Vision and Pattern Recognition Workshop, 2006. CVPRW '06. Conference on
Print_ISBN :
0-7695-2646-2
Type :
conf
DOI :
10.1109/CVPRW.2006.32
Filename :
1640550
Link To Document :
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