Title :
A model of saliency-based visual attention for rapid scene analysis
Author :
Itti, Laurent ; Koch, Christof ; Niebur, Ernst
Author_Institution :
Comput. & Neural Syst. Program, California Inst. of Technol., Pasadena, CA, USA
fDate :
11/1/1998 12:00:00 AM
Abstract :
A visual attention system, inspired by the behavior and the neuronal architecture of the early primate visual system, is presented. Multiscale image features are combined into a single topographical saliency map. A dynamical neural network then selects attended locations in order of decreasing saliency. The system breaks down the complex problem of scene understanding by rapidly selecting, in a computationally efficient manner, conspicuous locations to be analyzed in detail
Keywords :
computer vision; feature extraction; image recognition; neural nets; target tracking; dynamical neural network; feature extraction; rapid scene analysis; saliency; scene understanding; target detection; topographical saliency map; visual attention; visual search; Biological system modeling; Brain modeling; Computer architecture; Feature extraction; Hardware; Image analysis; Layout; Neural networks; Object detection; Visual system;
Journal_Title :
Pattern Analysis and Machine Intelligence, IEEE Transactions on
