An Approach for Intelligent Transportation Moving Shadow Detection via Perceptual Grouping and Texture Feature

2011 ◽  
Author(s):  
Jieqiong Xu ◽  
Guoyu Wang
Keyword(s):  
Perceptual Grouping ◽  
Texture Feature ◽  
Intelligent Transportation ◽  
Shadow Detection ◽  
Moving Shadow Detection

Moving shadow detection and removal – a wavelet transform based approach

2014 ◽  
Vol 8 (6) ◽  
pp. 701-717 ◽  
Author(s):  
Manish Khare ◽  
Rajneesh Kumar Srivastava ◽  
Ashish Khare
Keyword(s):  
Wavelet Transform ◽  
Shadow Detection ◽  
Moving Shadow Detection

Moving shadow detection and removal for traffic sequences

2007 ◽  
Vol 4 (1) ◽  
pp. 38-46 ◽  
Author(s):  
Mei Xiao ◽  
Chong-Zhao Han ◽  
Lei Zhang
Keyword(s):  
Shadow Detection ◽  
Moving Shadow Detection

scholarly journals Moving shadow detection via binocular vision and colour clustering

2020 ◽  
Vol 14 (8) ◽  
pp. 665-673
Author(s):  
Lei Lu ◽  
Ming Xu ◽  
Jeremy S. Smith ◽  
Yuyao Yan
Keyword(s):  
Binocular Vision ◽  
Shadow Detection ◽  
Moving Shadow Detection

scholarly journals An evaluation of moving shadow detection techniques

2016 ◽  
Vol 2 (3) ◽  
pp. 195-217 ◽  
Author(s):  
Mosin Russell ◽  
Ju Jia Zou ◽  
Gu Fang
Keyword(s):  
Shadow Detection ◽  
Detection Techniques ◽  
Moving Shadow Detection

scholarly journals Shadow Elimination Algorithm Using Color and Texture Features

2020 ◽  
Vol 2020 ◽  
pp. 1-10 ◽  
Author(s):  
Minghu Wu ◽  
Rui Chen ◽  
Ying Tong
Keyword(s):  
Target Detection ◽  
Color Space ◽  
Texture Feature ◽  
Texture Features ◽  
Shadow Detection ◽  
Moving Targets ◽  
Elimination Algorithm ◽  
Local Variance ◽  
Actual Operation ◽  
Operation Results

Shadow detection and removal in real scene images are a significant problem for target detection. This work proposes an improved shadow detection and removal algorithm for urban video surveillance. First, the foreground is detected by background subtraction and the shadow is detected by HSV color space. Using local variance and OTSU method, we obtain the moving targets with texture features. According to the characteristics of shadow in HSV space and texture feature, the shadow is detected and removed to eliminate the shadow interference for the subsequent processing of moving targets. Finally, we embed our algorithm into C/S framework based on the HTML5 web socket protocol. Both the experimental and actual operation results show that the proposed algorithm is efficient and robust in target detection and shadow detection and removal under different scenes.

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