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2012 (Vol. 4, Issue: 16)
Article Information:

Moving Object Detection Based on the Histograms of Oriented Gradients and Cloud Model

Yuyong Cui, Zhiyuan Zeng, Bitao Fu and Weihong Cui
Corresponding Author:  Yuyong Cui 

Key words:  Cloud model, concept rising, HOG feature map, moving object detection, , ,
Vol. 4 , (16): 2639-2644
Submitted Accepted Published
December 02, 2011 January 04, 2012 August 15, 2012
Abstract:

We present a Histograms of Oriented Gradients (HOG) features and the cloud model approach for the moving object detection from video sequences. Our model is based on the HOG features for the moving object and then uses the cloud model to find the moving object. First the HOG features are described from the image and then a HOG map is used by the cloud model to detect the moving object. The experiment shows our method is relative effect and has advantage in the detecting moving object.
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  Cite this Reference:
Yuyong Cui, Zhiyuan Zeng, Bitao Fu and Weihong Cui, 2012. Moving Object Detection Based on the Histograms of Oriented Gradients and Cloud Model.  Research Journal of Applied Sciences, Engineering and Technology, 4(16): 2639-2644.
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ISSN (Online):  2040-7467
ISSN (Print):   2040-7459
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