Meng, Hongying and Appiah, Kofi and Yue, Shigang and Hunter, Andrew and Hobden, Mervyn and Priestley, Nigel and Hobden, Peter and Pettit, Cy (2010) A modified model for the Lobula Giant Movement Detector and its FPGA implementation. Computer vision and image understanding, 114 (11). pp. 1238-1247. ISSN 1077-3142

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Abstract

The Lobula Giant Movement Detector (LGMD) is a wide-field visual neuron located in the Lobula layer of the Locust nervous system. The LGMD increases its firing rate in response to both the velocity of an approaching object and the proximity of this object. It has been found that it can respond to looming stimuli very quickly and trigger avoidance reactions. It has been successfully applied in visual collision avoidance systems for vehicles and robots. This paper introduces a modified neural model for LGMD that provides additional depth direction information for the movement. The proposed model retains the simplicity of the previous model by adding only a few new cells. It has been simplified and implemented on a Field Programmable Gate Array (FPGA), taking advantage of the inherent parallelism exhibited by the LGMD, and tested on real-time video streams. Experimental results demonstrate the effectiveness as a fast motion detector.

Item Type:	Article
Keywords:	Neural networks, Bio-inspired vision chip, Embedded vision, Visual motion, FPGA, ref11, refdoi
Subjects:	G Mathematical and Computer Sciences > G400 Computer Science G Mathematical and Computer Sciences > G730 Neural Computing G Mathematical and Computer Sciences > G740 Computer Vision
Divisions:	College of Sciences > Faculty of Science > Lincoln School of Computer Science
Depositing User:	Users 503819 not found.
Date Deposited:	19 Apr 2010 14:43
Last Modified:	15 May 2013 11:28
URI:	http://eprints.lincoln.ac.uk/id/eprint/2315

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