Elsevier

Procedia Engineering

Volume 29, 2012, Pages 2705-2709
Procedia Engineering

Three-Frame Difference Algorithm Research Based on Mathematical Morphology

https://doi.org/10.1016/j.proeng.2012.01.376Get rights and content
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Abstract

Because of the features of moving target, such as strong speed degeneration and uncertain route, it becomes hard to detect and track the moving target. Although there are many detecting methods for moving target, the noise of detection affects the detecting precision dramatically. In this paper, we extract target by three frame subtraction, and then process the extracting image by the method of mathematical morphology. By this method, the moving target can be detected effectively and the noise is eliminated dramatically. The experimental results show that this method has less calculation amount, higher real-time performance and higher accuracy for moving target detection, and this method can be well applied outdoor.

Keywords

object detection
three-frame difference
dilation
erosion

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