STUDY OF OBJECT DETECTION IMPLEMENTATION USING MATLAB

  • . L
N/ACitations
Citations of this article
32Readers
Mendeley users who have this article in their library.

Abstract

Object detection is most prevalent step of video analytics. Performance at higher level is greatly depends on accurate performance of object detection. Various platforms are being used for designing and implementation of object detection algorithm. It includes C programming, MATLAB and Simulink, open cv etc. Among these, MATLAB programming is most popular in students and researchers due to its extensive features. These features include data processing using matrix, set of toolboxes and Simulink blocks covering all technology field, easy programming, and Help topics with numerous examples. This paper presents the implementation of object detection and tracking using MATLAB. It demonstrates the basic block diagram of object detection and explains various predefined functions and object from different toolboxes that can be useful at each level in object detection. Useful toolboxes include image acquisition, image processing, and computer vision. This study helps new researcher in object detection field to design and implement algorithms using MATLAB.

Cite

CITATION STYLE

APA

. L. S. A. (2016). STUDY OF OBJECT DETECTION IMPLEMENTATION USING MATLAB. International Journal of Research in Engineering and Technology, 05(08), 109–114. https://doi.org/10.15623/ijret.2016.0508020

Register to see more suggestions

Mendeley helps you to discover research relevant for your work.

Already have an account?

Save time finding and organizing research with Mendeley

Sign up for free