@ARTICLE{4123799,
title={Implementation and Optimisation of a Video Object Segmentation Algorithm on an Embedded DSP Platform},
author={Ierodiaconou, S.P. and Dahnoun, N. and Xu, L.Q.},
journal={Crime and Security, 2006. The Institution of Engineering and Technology Conference on},
year={2006},
month={June},
volume={},
number={},
pages={432-437},
abstract={The Gaussian mixture model (GMM) is a popular algorithm employed for visual scene segmentation. In this paper we present an investigation into a real-time implementation of the algorithm on an embedded TI DM642 DSP platform suitable for outdoor and indoor surveillance applications. We present a number of possible implementations in fixed-point arithmetic and investigate their respective performances over varying model parameters. We discuss a number of different optimisations capitalising on the DSP architecture that lead to a flexible and efficient video object segmentation working prototype system.},
keywords={image segmentation, video surveillanceGaussian mixture model, embedded DSP platform, video object segmentation algorithm, video surveillance, visual scene segmentation},
doi={},
ISSN={} }