A biologically inspired spiking neural P system in selective visual attention for efficient feature extraction from human motion.
Esteban AnidesLuis GarciaGiovanny SánchezJuan-Gerardo ÁvalosMarco AbarcaThania FriasEduardo VazquezEmmanuel Tonatihu Juárez-VelázquezCarlos TrejoDerlis Hernández LaraPublished in: Frontiers Robotics AI (2022)
Keyphrases
- biologically inspired
- human motion
- visual attention
- biologically plausible
- visual attention model
- spiking neural networks
- center surround
- learning rules
- humanoid robot
- bio inspired
- feature extraction
- receptive fields
- saliency map
- eye tracking
- human body
- visual search
- motion capture
- feature vectors
- vision system
- eye movements
- video sequences
- image sequences
- visual scene
- feed forward
- human actions
- network architecture
- higher level
- visual field
- image processing
- neural network
- human computer interaction
- natural images
- d objects
- visual saliency
- image data
- feature space
- face recognition
- computer vision