Title :
A pattern recognition for group abnormal behaviors based on Markov Random Fields energy
Author :
Li Zuojin ; Chen Liukui ; Ren Zhiyong ; Tirumala, Sreenivas Sremath
Author_Institution :
Coll. of Electr. & Inf. Eng., Chongqing Univ. of Sci. & Technol., Chongqing, China
Abstract :
Group abnormal behaviors often occur abruptly under video surveillance, thus bringing serious consequences. How to recognize these behaviors correctly has always been the difficulty in research on intelligence video surveillance. This paper is based on the basic theory of Markov Random Fields to extract the features of those in video images, so as to recognize the group abnormal behaviors under video surveillance. Experiments show that this method can well reflect the real situation at the spot.
Keywords :
Markov processes; feature extraction; image recognition; random processes; video signal processing; video surveillance; Markov random field energy; feature extraction; group abnormal behavior recognition; intelligence video surveillance; pattern recognition; video images; Computational modeling; Educational institutions; Feature extraction; Hidden Markov models; Markov random fields; Streaming media; Video surveillance; Markov model; abnormal behaviors; pattern recognition;
Conference_Titel :
Cognitive Informatics & Cognitive Computing (ICCI*CC), 2014 IEEE 13th International Conference on
Conference_Location :
London
Print_ISBN :
978-1-4799-6080-4
DOI :
10.1109/ICCI-CC.2014.6921511
