Please use this identifier to cite or link to this item: http://hdl.handle.net/10321/1044
Title: Hybrid motion detection system using DSP and ANN ensembles
Authors: Moorgas, Kevin Emanuel
Govender, Poobalan
Keywords: Artificial neural network;Digital signal processing;Hybrid;Wavelet transforms
Issue Date: Mar-2013
Publisher: IMECS
Source: Moorgas, K.E. and Govender, P. Hybrid Motion Detection System Using DSP and ANN Ensembles, In: Proceedings of the International MultiConference of Engineers and Computer Scientists 2013 Vol I, Hong Kong, 13-15 Mar. 2013 Hong Kong: IMECS, 484-490.
Abstract: Hybrid systems are used in engineering systems and scientific applications to enhance and to improve their efficiency. This paper presents a hybrid system using digital signal processing (DSP) systems and artificial neural networks (ANN’s) for object motion detection, extraction and filtering. A summary of a DSP motion detection system is first presented and its performance is compared to that of an ANN ensemble system (AES). The two systems are then combined to form a hybrid motion detection system. Preprocessing of the hybrid system uses wavelet image compression to enhance its computational speed. During the testing of the system the efficiency of the (AES) is demonstrated as a powerful parallel processor in handling large amounts of image data.
URI: http://hdl.handle.net/10321/1044
ISBN: 978-988-19251-8-3
ISSN: 078-0958
Appears in Collections:Research Publications (Engineering and Built Environment)

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