scholarly journals Color-Texture Based Object Tracking Using HSV Color Space and Local Binary Pattern

2015 ◽  
Vol 7 (2) ◽  
pp. 161-174 ◽  
Author(s):  
Priyanto Hidayatullah ◽  
◽  
Miftahuddin Zuhdi ◽  
Keyword(s):  
Object Tracking ◽  
Local Binary Pattern ◽  
Color Space ◽  
Hsv Color Space ◽  
Color Texture

Analysis on the Static Features of Flame Images

2013 ◽  
Vol 765-767 ◽  
pp. 2403-2406
Author(s):  
Jing Du ◽  
Yun Yang Yan ◽  
Xi Yin Wu ◽  
Yian Liu
Keyword(s):  
Computer Vision ◽  
Feature Extraction ◽  
Local Binary Pattern ◽  
Color Space ◽  
Fire Detection ◽  
Visual Saliency ◽  
Fire Prevention ◽  
Hsv Color Space ◽  
Saliency Model ◽  
Rgb Color Space

Fire detection based on images is an effective method for fire prevention, especially in big room or badly environment. It is important to extract the features of a flame image. According to the idea of visual saliency in computer vision, saliency model of brightness, color and flame texture are proposed here. The saliency of flame brightness is indicated by the V component in HSV color space. The saliency of flame color is expressed by the relation of R and B in the RGB color space. The saliency of flame texture is described by the distance between the feature vectors which are the combination of features with Local Binary Pattern. Experimental results show the saliency model is effective for flame feature extraction.

scholarly journals An Efficient Real Time Object Tracking Based on HSV Value

2021 ◽  
Vol 9 (11) ◽  
pp. 1197-1203
Author(s):  
Sheikh Summerah
Keyword(s):  
Object Tracking ◽  
Real Time ◽  
Moving Objects ◽  
Color Space ◽  
Video Tracking ◽  
Frame Rate ◽  
Long Distance ◽  
Hsv Color Space ◽  
Video Frames ◽  
Testing Stage

Abstract: This study presents a strategy to automate the process to recognize and track objects using color and motion. Video Tracking is the approach to detect a moving item using a camera across the long distance. The basic goal of video tracking is in successive video frames to link target objects. When objects move quicker in proportion to frame rate, the connection might be particularly difficult. This work develops a method to follow moving objects in real-time utilizing HSV color space values and OpenCV in distinct video frames.. We start by deriving the HSV value of an object to be tracked and then in the testing stage, track the object. It was seen that the objects were tracked with 90% accuracy. Keywords: HSV, OpenCV, Object tracking,

scholarly journals Independent Object Tracking from Video using the Contour Information in HSV Color Space

2016 ◽  
Vol 9 (S1) ◽  
Author(s):  
Jong Hun Park ◽  
Gang Seong Lee ◽  
Jin Soo Kim ◽  
Seuc Ho Ryu ◽  
Sang Hun Lee
Keyword(s):  
Object Tracking ◽  
Color Space ◽  
Hsv Color Space ◽  
Contour Information
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