Object tracking in video by egg shape boundary model and properties of HSV colour space

2011 ◽  
Vol 2 (3/4) ◽  
pp. 269
Author(s):  
S. Saravanakumar ◽  
A. Vadivel ◽  
C.G. Saneem Ahmed
Keyword(s):  
Object Tracking ◽  
Colour Space ◽  
Egg Shape ◽  
Boundary Model ◽  
Hsv Colour Space

scholarly journals Object Tracking Using HSV Values and OpenCV

2021 ◽  
Vol 9 (12) ◽  
pp. 594-599
Author(s):  
Gowher Shafi
Keyword(s):  
Object Tracking ◽  
Real Time ◽  
Moving Objects ◽  
Video Tracking ◽  
Frame Rate ◽  
Colour Space ◽  
Long Distance ◽  
Video Frames ◽  
Hsv Colour Space ◽  
Percent Accuracy

Abstract: This research shows how to use colour and movement to automate the process of recognising and tracking things. Video tracking is a technique for detecting a moving object over a long distance using a camera. The main purpose of video tracking is to connect target objects in subsequent video frames. The connection may be particularly troublesome when things move faster than the frame rate. Using HSV colour space values and OpenCV in different video frames, this study proposes a way to track moving objects in real-time. We begin by calculating the HSV value of an item to be monitored, and then we track the object throughout the testing step. The items were shown to be tracked with 90 percent accuracy. Keywords: HSV, OpenCV, Object tracking, Video frames, GUI

scholarly journals Research on the Application of Artificial Intelligence Technology in Computer Graphics Processing

2021 ◽  
Vol 2083 (4) ◽  
pp. 042037
Author(s):  
Xia Yang
Keyword(s):  
Artificial Intelligence ◽  
Threshold Value ◽  
Shooting Methods ◽  
Colour Space ◽  
Space Transformation ◽  
Artificial Intelligence Technology ◽  
Colour Saturation ◽  
Hsv Colour Space ◽  
Graphics Processing ◽  
Bright Area

Abstract In structured light geometric reconstruction, due to the complexity of shooting methods and scene lighting conditions, the resulting images may be lack of image details due to uneven light. For this reason, the article proposes a Retinex algorithm with colour restoration and colour saturation correction strategy based on HSV colour space transformation based on artificial intelligence technology. Then distinguish whether it is a bright area according to the threshold value, and modify the insufficient transmittance estimation of the bright area. Finally, the intensity component and saturation value are restored in the HIS colour space, and the histogram is used to stretch the intensity component.

scholarly journals Performance Efficiency of Quantization using HSV Colour Space and Intersection Distance in CBIR

2012 ◽  
Vol 42 (21) ◽  
pp. 48-55 ◽  
Author(s):  
S.Niranjanan S.Niranjanan ◽  
S.P.Raja Gopalan
Keyword(s):  
Colour Space ◽  
Hsv Colour Space

Using Fuzzy Segmentation for Colour Image Enhancement of Computed Tomography Perfusion Images

2011 ◽  
pp. 253-262
Author(s):  
Martin Tabakov
Keyword(s):  
Computed Tomography ◽  
Image Enhancement ◽  
Brain Perfusion ◽  
Colour Space ◽  
Computed Tomography Perfusion ◽  
Fuzzy Similarity ◽  
Colour Image ◽  
Fuzzy Similarity Relation ◽  
Hsv Colour Space ◽  
Fuzzy Segmentation

This chapter presents a methodology for an image enhancement process of computed tomography perfusion images by means of partition generated with appropriately defined fuzzy relation. The proposed image processing is used to improve the radiological analysis of the brain perfusion. Colour image segmentation is a process of dividing the pixels of an image in several homogenously- coloured and topologically connected groups, called regions. As the concept of homogeneity in a colour space is imprecise, a measure of dependency between the elements of such a space is introduced. The proposed measure is based on a pixel metric defined in the HSV colour space. By this measure a fuzzy similarity relation is defined, which next is used to introduce a clustering method that generates a partition, and so a segmentation. The achieved segmentation results are used to enhance the considered computed tomography perfusion images with the purpose of improving the corresponding radiological recognition.

An Improved Keyframe Extraction Method Based on HSV Colour Space

2013 ◽  
Vol 8 (7) ◽  
Author(s):  
Zhong Qu ◽  
Lidan Lin ◽  
Tengfei Gao ◽  
Yongkun Wang
Keyword(s):  
Extraction Method ◽  
Colour Space ◽  
Keyframe Extraction ◽  
Hsv Colour Space

Automatic crop detection under field conditions using the HSV colour space and morphological operations

2017 ◽  
Vol 133 ◽  
pp. 97-107 ◽  
Author(s):  
Esmael Hamuda ◽  
Brian Mc Ginley ◽  
Martin Glavin ◽  
Edward Jones
Keyword(s):  
Field Conditions ◽  
Morphological Operations ◽  
Colour Space ◽  
Hsv Colour Space

scholarly journals Hue-based quantification of mechanochromism towards a cost-effective detection of mechanical strain in polymer systems

2017 ◽  
Vol 53 (1) ◽  
pp. 248-251 ◽  
Author(s):  
A. Battisti ◽  
P. Minei ◽  
A. Pucci ◽  
R. Bizzarri
Keyword(s):  
Mechanical Strain ◽  
Cost Effective ◽  
Fluorescent Dye ◽  
Colour Space ◽  
Polymer Systems ◽  
Hsv Colour Space

Hue evaluation from HSV colour space provides a fast and cost-effective tool for the detection of deformation in polymers loaded with the mechanosensitive fluorescent dye BBS.

Sign in / Sign up

Export Citation Format

Share Document