A Moving Object Detection Algorithm Based on ORB under Dynamic Scene

Wen Hao Luo

doi:10.4028/www.scientific.net/AMM.602-605.1638

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HomeApplied Mechanics and MaterialsApplied Mechanics and Materials Vols. 602-605A Moving Object Detection Algorithm Based on ORB...

A Moving Object Detection Algorithm Based on ORB under Dynamic Scene

Abstract:

In this thesis, a moving object detection algorithm under dynamic scene is proposed, which is based on ORB feature. Firstly, we extract feature points and match them by using ORB. We then obtain global motion compensation image by parameters of transformation matrix based on the RANSAC method. Finally, we use the inter-frame difference method to achieve the detection of moving targets. The high speed and accuracy of ORB feature point matching method, as well as the effectiveness of the RANSAC method for removing outliers ensure accurate calculation of parameters of affine transformation model. Combined with inter-frame difference method, foreground objects can be detected entirely. Experiment results show that the algorithm can accurately detect moving objects, and to some extent, it can solve the issue of real-time detection.

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Periodical:

Applied Mechanics and Materials (Volumes 602-605)

Pages:

1638-1641

DOI:

https://doi.org/10.4028/www.scientific.net/AMM.602-605.1638

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Online since:

August 2014

Authors:

Wen Hao Luo*

Keywords:

Dynamic Scene, Object Detection, ORB, RANSAC

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* - Corresponding Author

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