A pattern recognition for group abnormal behaviors based on Markov Random Fields energy
Li, Zuojin; Chen, Liukui; Ren, Zhiyong; Tirumala, Sreenivas Sremath
Citation:Li, Z.J., Chen, L.K., Ren, Z.Y. & Tirumala, S.S. (2014). A pattern recognition for group abnormal behaviors based on Markov Random Fields energy. IEEE(Ed.), IEEE 13th International Conference on Cognitive Informatics and Cognitive Computing, ICCI*CC 2014 (pp.526-528).
Permanent link to Research Bank record:https://hdl.handle.net/10652/3965
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.