• 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