Computational Model of Primary Visual Cortex Combining Visual Attention for Action Recognition.

ABSTRACT: Humans can easily understand other people's actions through visual systems, while computers cannot. Therefore, a new bio-inspired computational model is proposed in this paper aiming for automatic action recognition. The model focuses on dynamic properties of neurons and neural networks in the primary visual cortex (V1), and simulates the procedure of information processing in V1, which consists of visual perception, visual attention and representation of human action. In our model, a family of the three-dimensional spatial-temporal correlative Gabor filters is used to model the dynamic properties of the classical receptive field of V1 simple cell tuned to different speeds and orientations in time for detection of spatiotemporal information from video sequences. Based on the inhibitory eff

SUBMITTER: Shu N 

PROVIDER: S-EPMC4489578 | biostudies-literature | 2015

REPOSITORIES: biostudies-literature