Title :
A visual nervous network for moving object recognition
Author :
Sato, Noriaksi ; Agiwara, Masafumhi
Author_Institution :
Fac. of Sci. & Technol., Keio Univ., Yokohama, Japan
Abstract :
Proposes a visual nervous network for moving object recognition. This network is based on a visual neural net which has a hierarchical parallel structure. The network consists of three modules: the movement detection module, the moving object estimation module and the moving object recognition module. The movement detection module detects moving points and their direction. The moving object estimation module estimates the moving object based on motion features. The moving object recognition module recognizes the moving object based on its form feature. The network is able to recognize moving objects by uniting motion recognition and pattern recognition. We carried out computer simulations using real moving images to confirm the effectiveness of the proposed network
Keywords :
computer vision; digital simulation; motion estimation; neural nets; object recognition; subroutines; computer simulations; form feature; hierarchical parallel structure; motion direction detection; motion features; movement detection module; moving images; moving object estimation module; moving object recognition module; moving point detection; pattern recognition; visual nervous network; visual neural net; visual sense; walking human; Animal structures; Computer simulation; Humans; Image processing; Legged locomotion; Motion estimation; Neurons; Object detection; Object recognition; Pattern recognition;
Conference_Titel :
Systems, Man, and Cybernetics, 2000 IEEE International Conference on
Conference_Location :
Nashville, TN
Print_ISBN :
0-7803-6583-6
DOI :
10.1109/ICSMC.2000.884378
