Title :
A new biological visual cognitive behavioural modeling for video energy computing
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 :
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.
Keywords :
bioelectric potentials; biology computing; cognition; computer vision; video signal processing; abnormal behaviors; bioelectrical energy features; biological visual cognitive behavioural modeling; brain visual cortex; complex environment; human vision; machine vision; receptor cells; video dynamic energy; video energy computing; video energy feature extraction; Biological system modeling; Brain modeling; Computational modeling; Image edge detection; Mathematical model; Visualization; compute modeling; video energy; visual congenitive;
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.2014.6921485