Research Article
Automatic Color Object Detection and Learning using Continuously Adaptive Mean Shift with Color, Scale and Direction
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International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
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| Volume 165 - Issue 11 |
| Published: May 2017 |
| Authors: Kishor S. Jeve, Ashok T. Gaikwad, Pravin L. Yannawar |
10.5120/ijca2017914042
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Kishor S. Jeve, Ashok T. Gaikwad, Pravin L. Yannawar . Automatic Color Object Detection and Learning using Continuously Adaptive Mean Shift with Color, Scale and Direction. International Journal of Computer Applications. 165, 11 (May 2017), 1-3. DOI=10.5120/ijca2017914042
@article{ 10.5120/ijca2017914042,
author = { Kishor S. Jeve,Ashok T. Gaikwad,Pravin L. Yannawar },
title = { Automatic Color Object Detection and Learning using Continuously Adaptive Mean Shift with Color, Scale and Direction },
journal = { International Journal of Computer Applications },
year = { 2017 },
volume = { 165 },
number = { 11 },
pages = { 1-3 },
doi = { 10.5120/ijca2017914042 },
publisher = { Foundation of Computer Science (FCS), NY, USA }
}
%0 Journal Article
%D 2017
%A Kishor S. Jeve
%A Ashok T. Gaikwad
%A Pravin L. Yannawar
%T Automatic Color Object Detection and Learning using Continuously Adaptive Mean Shift with Color, Scale and Direction%T
%J International Journal of Computer Applications
%V 165
%N 11
%P 1-3
%R 10.5120/ijca2017914042
%I Foundation of Computer Science (FCS), NY, USA
Abstract
The tracking of motion of color object and detection of objects in real time video sequences is the important task in computer vision, video processing, image processing, intelligent system, etc. In this paper, we proposed Continuously Adaptive Mean Shift (CAMSHIFT) tracking with Color, Scale and Direction. In the CAMSHIFT the scale of the kernel is automatically altered in accordance with the object scale, and also follows the object direction accurately, when an initial adoption of the object shape is provided. The proposed method tracks the object accurately and efficiently.
References
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