Improved Spatial-Temporal Moving Object Detection Method Resistant to Noise

Improved Spatial-Temporal Moving Object Detection Method Resistant to Noise

Copyright: © 2014 |Pages: 12
DOI: 10.4018/978-1-4666-4896-8.ch005
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Abstract

The resistance of the improved moving objects detection algorithm to various types of additive and multiplicative noise is discussed. The algorithm’s first phase contains the noise suppression filter based on spatiotemporal blocks including dimensionality reduction technique for a compact scalar representation of each block, and the second phase consists of the moving object detection algorithm resistant to illumination changes that detects and tracks moving objects.
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2. Methodology

The used technique for moving object detection consists of four major phases:

  • 1.

    Extraction of the 3D filter coefficients with the PCA analysis.

  • 2.

    Dimensionality reduction by spatiotemporal blocks.

  • 3.

    Image filtering of a current frame with the noise removal filter.

  • 4.

    Detection of moving objects applying the pixel based method for moving object detection resistant to illumination changes.

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