Action recognition has received enormous interest in the field of neuroscience over the last
two decades. In spite of this interest, the knowledge in terms of fundamental neural …

We propose a bio-inspired feedforward spiking network modeling two brain areas dedicated
to motion (V1 and MT), and we show how the spiking output can be exploited in a computer …

In this paper, we propose a bioinspired model for human action recognition through
modeling neural mechanisms of information processing in two visual cortical areas: the …

Human visual system is an effective recognition one. Based on information processing
mechanism of visual cortex, a bio-inspired approach for the human action recognition from …

We propose a novel biologically inspired framework for the recognition of human full-body
actions. First, we extract body pose and motion features from depth map sequences. We …

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 …

BN Epifancev, AA Pyatkov, SA Kopeykin, “Multi-sensor systems for monitoring access to restricted
areas: capabilities of the intrusion detection video analytical channel”, Computer Optics, 40:1 …

На основании анализа опубликованных работ по обеспечению безопасности
критически важных объектов от террористических угроз сделан вывод о …

The output of a spiking neural network is a set of events, called spikes, defined by their
occurrence times, up to some precision. Spikes represent the way that the nervous system …

In order to improve the accuracy of human action recognition and accelerate the recognition
speed, we propose a method for human action recognition by modeling the human primary …