A new biological visual cognitive behavioural modeling for video energy computing
Li, Zuojin; Chen, Liukui; Ren, Zhiyong; Tirumala, Sreenivas Sremath
Citation:Li, Z.J., Ren, Z.Y. & Tirumala, S.S. (2014). A new biological visual cognitive behavioural modeling for video energy computing. IEEE(Ed.), IEEE 13th International Conference on Cognitive Informatics and Cognitive Computing, ICCI*CC 2014 (pp.370-372).
Permanent link to Research Bank record:http://hdl.handle.net/10652/3964
As we all know, human vision is quite sensitive to abnormal behaviors, which is attributed to the discharging of the receptor cells in the brain visual cortex and the ensuing bioelectrical energy features. Inspired by this biological nature, this paper constructs a computing model to describe video dynamic energy, which can further improve the perception of machine vision to abnormal behaviors. Experiments show that this computing model can extract video energy features of abnormal behaviors under complex environment.