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Appl. Sci. 2018, 8(6), 885; https://doi.org/10.3390/app8060885

A Background Subtraction Algorithm in Complex Environments Based on Category Entropy Analysis

1
Department of Electrical and Electronics Engineering, Chung Cheng Institute of Technology, National Defense University, Taoyuan 33551, Taiwan
2
Graduate Institute of Automation and Control, National Taiwan University of Science and Technology, Taipei 10607, Taiwan
*
Author to whom correspondence should be addressed.
Received: 26 April 2018 / Revised: 18 May 2018 / Accepted: 25 May 2018 / Published: 28 May 2018
(This article belongs to the Special Issue Advanced Internet of Things for Smart Infrastructure System)
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Abstract

Background subtraction is a mainstream algorithm for moving object detection in video surveillance systems. It segments moving objects by using the difference between the background and input images. The key to background subtraction is to establish a reliable initial background. In this study, we propose a background subtraction algorithm based on category entropy analysis that dynamically creates color categories for each pixel in the images. The algorithm uses the concept of a joint category to build background categories that can adapt to the color disturbance of the background. Furthermore, in order to overcome dynamic background environments, this paper proposes the concept of color category entropy to estimate the number of necessary background categories and establish sufficient and representative background categories to adapt to dynamic background environments. In addition, recent mainstream methods for background subtraction were implemented and analyzed in comparison with our algorithm. View Full-Text
Keywords: computer vision; background subtraction; object detection; category entropy analysis; internet of things (IoT); dynamic background environments computer vision; background subtraction; object detection; category entropy analysis; internet of things (IoT); dynamic background environments
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This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. (CC BY 4.0).
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Chiu, S.-Y.; Chiu, C.-C.; Xu, S. .-D. A Background Subtraction Algorithm in Complex Environments Based on Category Entropy Analysis. Appl. Sci. 2018, 8, 885.

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