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Abstract
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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
Submitted: December 02, 2011
Accepted: January 04, 2012
Published: August 15, 2012 |
Abstract:
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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.
Key words: Cloud model, concept rising, HOG feature map, moving object detection, , ,
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Cite this Reference:
Yuyong Cui, Zhiyuan Zeng, Bitao Fu and Weihong Cui, . Moving Object Detection Based on the Histograms of Oriented Gradients and Cloud Model. Research Journal of Applied Sciences, Engineering and Technology, (16): 2639-2644.
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ISSN (Online): 2040-7467
ISSN (Print): 2040-7459 |
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