Title :
Biological-inspired computational modeling of eye-motion control for object detection
Author_Institution :
Key Lab. of Intell. Inf. Process., Chinese Acad. of Sci., Beijing, China
Abstract :
Eye movement plays an important role in human vision system. How to control eye or gaze movement automatically for image understanding is an interesting issue. This paper presents a progress of our research on biological-inspired computational modeling of eye-motion control for object detection in images. The model simulates the single and population cell coding mechanisms for learning visual context and controlling the eye movement. A comparative experiment with three coding systems is carried out and experimental results show the gradual-scale population coding system performs better than the other two coding systems on the average for object detection.
Keywords :
eye; image coding; object detection; biological-inspired computational modeling; eye-motion control; gradual-scale population coding system; human vision system; image understanding; object detection; population cell coding mechanism; single cell coding mechanism; Automatic control; Biological control systems; Biological information theory; Biological system modeling; Computational modeling; Context modeling; Feature extraction; Humans; Image coding; Object detection;
Conference_Titel :
Asian Control Conference, 2009. ASCC 2009. 7th
Conference_Location :
Hong Kong
Print_ISBN :
978-89-956056-2-2
Electronic_ISBN :
978-89-956056-9-1
