Adaptive defogging with color correction in the HSV color space for consumer video surveillance systems

2012 ◽  
Author(s):  
Inhye Yoon ◽  
Seonyung Kim ◽  
Donggyun Kim ◽  
Monson H. Hayes ◽  
Joonki Paik
Keyword(s):  
Video Surveillance ◽  
Color Space ◽  
Color Correction ◽  
Surveillance Systems ◽  
Hsv Color Space ◽  
Consumer Video

The Research of Motion Detection and Shadow Elimination in Video Surveillance

2012 ◽  
Vol 468-471 ◽  
pp. 2691-2694
Author(s):  
Zhi Li Qing ◽  
Yue Lin Chen
Keyword(s):  
Video Surveillance ◽  
Motion Detection ◽  
Moving Objects ◽  
Color Space ◽  
Video Image ◽  
Experimental Results ◽  
Background Model ◽  
Hsv Color Space ◽  
Shadow Elimination

This paper studies the moving objects detect and shadow eliminate in video surveillance. Completed the background generated on the video image by study the mixed Gaussian background model, by transforming the image to hsv color space for processing, which achieve the elimination of shadows. The experimental results show the approach this paper use is effectively on the background generated and shadow remove.

scholarly journals Improving Vehicle Detection Accuracy Based on Vehicle Shadow and Superposition Elimination

2015 ◽  
Vol 9 (1) ◽  
pp. 1039-1044 ◽  
Author(s):  
Hongjin Zhu ◽  
Honghui Fan ◽  
Feiyue Ye ◽  
Xiaorong Zhao
Keyword(s):  
Color Space ◽  
Great Influence ◽  
Vehicle Detection ◽  
Gaussian Mixture ◽  
Detection Accuracy ◽  
Surveillance Systems ◽  
Traffic Surveillance ◽  
Hsv Color Space ◽  
Shadow It ◽  
Background Models

Vehicle shadow and superposition have a great influence on the accuracy of vehicles detection in traffic video. Many background models have been proposed and improved to deal with detection moving object. This paper presented a method which improves Gaussian mixture model to get adaptive background. The HSV color space was used to eliminate vehicle shadow, it was based on a computational colour space that makes use of our shadow model. Vehicle superposition elimination was discussed based on vehicle contour dilation and erosion method. Experiments were performed to verify that the proposed technique is effective for vehicle detection based traffic surveillance systems. Detection results showed that our approach was robust to widely different background and illuminations.

Adaptive defogging with color correction in the HSV color space for consumer surveillance system

2012 ◽  
Vol 58 (1) ◽  
pp. 111-116 ◽  
Author(s):  
Inhye Yoon ◽  
Seonyung Kim ◽  
Donggyun Kim ◽  
Monson Hayes ◽  
Joonki Paik
Keyword(s):  
Surveillance System ◽  
Color Space ◽  
Color Correction ◽  
Hsv Color Space

HSV color space based pupil position locating method

2014 ◽  
Author(s):  
Peng Cao ◽  
Qijie Zhao ◽  
Dawei Tu ◽  
Hui Shao
Keyword(s):  
Color Space ◽  
Hsv Color Space
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