DocumentCode :
3498608
Title :
An improved neural architecture for gaze movement control in target searching
Author :
Miao, Jun ; Duan, Lijuan ; Qing, Laiyun ; Qiao, Yuanhua
Author_Institution :
Key Lab. of Intell. Inf. Process., Chinese Acad. of Sci., Beijing, China
fYear :
2011
fDate :
July 31 2011-Aug. 5 2011
Firstpage :
2341
Lastpage :
2348
Abstract :
This paper presents an improved neural architecture for gaze movement control in target searching. Compared with the four-layer neural structure proposed in [14], a new movement coding neuron layer is inserted between the third layer and the fourth layer in previous structure for finer gaze motion estimation and control. The disadvantage of the previous structure is that all the large responding neurons in the third layer were involved in gaze motion synthesis by transmitting weighted responses to the movement control neurons in the fourth layer. However, these large responding neurons may produce different groups of movement estimation. To discriminate and group these neurons´ movement estimation in terms of grouped connection weights form them to the movement control neurons in the fourth layer is necessary. Adding a new neuron layer between the third layer and the fourth lay is the measure that we solve this problem. Comparing experiments on target locating showed that the new architecture made the significant improvement.
Keywords :
motion control; motion estimation; neural net architecture; object detection; four-layer neural structure; gaze motion estimation; gaze motion synthesis; gaze movement control; movement coding neuron layer; neural architecture; target searching; Context; Encoding; Equations; Feature extraction; Image coding; Neurons; Visualization;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Neural Networks (IJCNN), The 2011 International Joint Conference on
Conference_Location :
San Jose, CA
ISSN :
2161-4393
Print_ISBN :
978-1-4244-9635-8
Type :
conf
DOI :
10.1109/IJCNN.2011.6033521
Filename :
6033521
Link To Document :
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