Title :
Elementary motion detection with selective attention
Author :
Choong, E.W. ; Lim, Cheng-Chew
Author_Institution :
Dept. of Electr. & Electron. Eng., Adelaide Univ., SA, Australia
Abstract :
This paper describes the use of attentional modulation of neuronal signals in elementary feature detection. In particular, motion detection can be selectively tuned to favour movements in the desired direction by providing a suitable directional bias in the detection system. Computer simulation results of apparent motion demonstrating the effects of selectively biasing in elementary motion detection are presented
Keywords :
computer vision; digital simulation; feature extraction; modulation; motion estimation; neural nets; apparent motion; attentional modulation; computer simulation; directional bias; elementary feature detection; elementary motion detection; movement direction; neural network; neuronal signals; selective attention; selective bias; selective tuning; Automatic control; Biological neural networks; Biological system modeling; Computer simulation; Computer vision; Data mining; Information filtering; Information filters; Modems; Motion detection;
Conference_Titel :
Knowledge-Based Intelligent Information Engineering Systems, 1999. Third International Conference
Conference_Location :
Adelaide, SA
Print_ISBN :
0-7803-5578-4
DOI :
10.1109/KES.1999.820199
