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Article
Publication date: 1 June 2001

B. Hammer

92

Abstract

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Assembly Automation, vol. 21 no. 2
Type: Research Article
ISSN: 0144-5154

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Article
Publication date: 1 December 2003

Jon Rigelsford

218

Abstract

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Sensor Review, vol. 23 no. 4
Type: Research Article
ISSN: 0260-2288

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Article
Publication date: 1 August 2003

Jon Rigelsford

181

Abstract

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Industrial Robot: An International Journal, vol. 30 no. 4
Type: Research Article
ISSN: 0143-991X

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Article
Publication date: 1 September 2000

59

Abstract

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Sensor Review, vol. 20 no. 3
Type: Research Article
ISSN: 0260-2288

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Article
Publication date: 28 February 2005

Masashi Kawaguchi, Takashi Jimbo, Masayoshi Umeno and Naohiro Ishii

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…

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 capacitor and resistance (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. 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. From a technological viewpoint, the proposed model facilitates clarification of the mechanism of the biomedical vision system, which should enable design and simulation by an analog electric circuit for detecting the movement and speed of objects.

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Interactive Technology and Smart Education, vol. 2 no. 1
Type: Research Article
ISSN: 1741-5659

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Article
Publication date: 1 December 2001

Jonathan Rigelsford

50

Abstract

Details

Sensor Review, vol. 21 no. 4
Type: Research Article
ISSN: 0260-2288

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