Title
Direction selective two-dimensional analog circuits using biomedical vision model
Abstract
We propose herein a motion detection artificial vision model which uses analog electronic circuits. The proposed model is comprised of four layers. The first layer is a differentiation circuit of the large CR coefficient, and the second layer is a differentiation circuit of the small CR coefficient. Thus, the speed of the movement object is detected. The third layer is a difference circuit for detecting the movement direction, and the fourth layer is a multiple circuit for detecting pure motion output. We first designed a one-dimensional model, which we later enhanced to obtain a two-dimensional model. The model was shown to be capable of detecting a movement object in the image. Moreover, the proposed model can be used to detect two or more objects, which is advantageous for detection in an environment in which several objects are moving in multiple directions simultaneously.
Year
DOI
Venue
2003
10.1007/3-540-44989-2_87
Lecture Notes in Computer Science
Keywords
Field
DocType
difference circuit,direction selective two-dimensional analog,analog electronic circuit,two-dimensional model,differentiation circuit,biomedical vision model,one-dimensional model,movement direction,large cr coefficient,multiple circuit,movement object,analog model,differentiation,biomedical engineering,electronic circuit,analog circuit,analog circuits,motion estimation
Computer vision,Analogue electronics,Motion detection,Pattern recognition,Simulation,Computer science,Artificial intelligence,Motion estimation,Electronic circuit,Artificial vision
Conference
Volume
ISSN
ISBN
2714
0302-9743
3-540-40408-2
Citations 
PageRank 
References 
0
0.34
1
Authors
4
Name
Order
Citations
PageRank
Masashi Kawaguchi12414.93
Kazuyuki Kondo200.68
Takashi Jimbo3157.35
Masayoshi Umeno414.88