Visual perception based on salient features

We present in this paper an original model to simulate visual perception based on the detection of salient features. Salient features correspond to the maximum of conspicuity in a static image or in a sequence of images. We intend to use this information to provide visually interesting targets that can be used in multiple contexts. The extraction process of such an information is performed through multiple steps that correspond to different features locally encoding the conspicuity of a spatial location. We mainly use for those features spatial orientation and motion information, but other types of feature could be used as well. Two kinds of application are presented in this paper: video surveillance application and simulation of the visual perception of a synthetic actor.

Authors

• Nicolas Courty
• Éric Marchand

Keywords

• Visual perception
• Data mining
• Cameras
• Gabor filters
• Computer vision
• Motion estimation
• Frequency
• Robots
• Feature extraction
• Eyes
• Spatial Information
• Spatial Orientation
• Static Images
• Motion Information
• Spatial Motion
• Optimal Control
• Feature Maps
• Visual Processing
• Imaging Center
• Information Center
• Depth Information
• Motion Model
• Object Motion
• Human Visual System
• Humanoid
• Saliency Map
• Tracking Process
• Salient Points
• Dominant Motion
• Visual Servoing
• Eye Saccades
• Plausible Way
• Graphics Applications
• Robust Estimation Method
• Visual Control
• Perceptual Processing
• Visual Features