This paper is published in Volume-4, Issue-1, 2018
Area
Image Processing
Author
Pranay Singla, Vibhor Sharma, Vaibhav Aggarwal
Org/Univ
Maharaja Agrasen Institute of Technology, Rohini, Delhi, India
Keywords
MATLAB, Color Recognition, Image Processing Toolbox, Video Segmentation
Citations
IEEE
Pranay Singla, Vibhor Sharma, Vaibhav Aggarwal. Live Video Colour Recognition and Object Tracking using MATLAB, International Journal of Advance Research, Ideas and Innovations in Technology, www.IJARIIT.com.
APA
Pranay Singla, Vibhor Sharma, Vaibhav Aggarwal (2018). Live Video Colour Recognition and Object Tracking using MATLAB. International Journal of Advance Research, Ideas and Innovations in Technology, 4(1) www.IJARIIT.com.
MLA
Pranay Singla, Vibhor Sharma, Vaibhav Aggarwal. "Live Video Colour Recognition and Object Tracking using MATLAB." International Journal of Advance Research, Ideas and Innovations in Technology 4.1 (2018). www.IJARIIT.com.
Pranay Singla, Vibhor Sharma, Vaibhav Aggarwal. Live Video Colour Recognition and Object Tracking using MATLAB, International Journal of Advance Research, Ideas and Innovations in Technology, www.IJARIIT.com.
APA
Pranay Singla, Vibhor Sharma, Vaibhav Aggarwal (2018). Live Video Colour Recognition and Object Tracking using MATLAB. International Journal of Advance Research, Ideas and Innovations in Technology, 4(1) www.IJARIIT.com.
MLA
Pranay Singla, Vibhor Sharma, Vaibhav Aggarwal. "Live Video Colour Recognition and Object Tracking using MATLAB." International Journal of Advance Research, Ideas and Innovations in Technology 4.1 (2018). www.IJARIIT.com.
Abstract
In this paper, we discuss the use of live video streaming to detect RGB colors and in the process, try to track the movements of different objects in a stationary background. This color dependent tracking is achieved through MATLAB’S image processing toolbox. A live video is segmented and each video frame is used to detect red, blue or green color and keep track of the object in subsequent frames using the average shift observed in the frames. The applications of this system include robotics, color related segregation or detection, analysis and surveillance tech. devices, and security systems.