Implementation and optimisation of a video object segmentation algorithm on an embedded DSP platform
Implementation and optimisation of a video object segmentation algorithm on an embedded DSP platform
- Author(s): S.P. Ierodiaconou ; N. Dahnoun ; L.Q. Xu
- DOI: 10.1049/ic:20060348
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- Author(s): S.P. Ierodiaconou ; N. Dahnoun ; L.Q. Xu Source: IET Conference on Crime and Security, 2006 p. 432 – 437
- Conference: IET Conference on Crime and Security
- DOI: 10.1049/ic:20060348
- ISBN: 0 86341 647 0
- Location: London, UK
- Conference date: 13-14 June 2006
- Format: PDF
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.
Inspec keywords: video surveillance; image segmentation
Subjects: Video signal processing; Computer vision and image processing techniques; Optical, image and video signal processing
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