A modified model for the Lobula Giant Movement Detector and its FPGA implementation

MENG, Hongying, APPIAH, Kofi, YUE, Shigang, HUNTER, Andrew, HOBDEN, Mervyn, PRIESTLEY, Nigel, HOBDEN, Peter and CY, Pettit (2010). A modified model for the Lobula Giant Movement Detector and its FPGA implementation. Computer Vision and Image Understanding, 114 (11), 1238-1247.

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Official URL: https://www.sciencedirect.com/science/article/pii/...
Link to published version:: https://doi.org/10.1016/j.cviu.2010.03.017
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    Bio-inspired vision sensors are particularly appropriate candidates for navigation of vehicles or mobile robots due to their computational simplicity, allowing compact hardware implementations with low power dissipation. 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
    Research Institute, Centre or Group - Does NOT include content added after October 2018: Cultural Communication and Computing Research Institute > Communication and Computing Research Centre
    Departments - Does NOT include content added after October 2018: Faculty of Science, Technology and Arts > Department of Computing
    Identification Number: https://doi.org/10.1016/j.cviu.2010.03.017
    Page Range: 1238-1247
    Depositing User: Kofi Appiah
    Date Deposited: 13 Aug 2018 15:40
    Last Modified: 13 Aug 2018 15:40
    URI: http://shura.shu.ac.uk/id/eprint/22196

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