• RAMESH UTTAM KADAM
• AMIT SINGH
• DHWANI CHITALIYA
• PRAGATI UPADHYAY

This paper describes an object detection using correlation and template matching technique. This paper contains how we can use simple correlation technique for detection of object by using matlab software and image processing. This includes technique about cropping image, template making from image, various keywords useful for correlation programs and explanation about them. Object detection in computer vision is the task of finding a given object in an image or video sequence. The aim of object detection is to correctly identify objects in a scene and estimate their pose (location and orientation). The goal is to realize the ability of current object detection techniques to find similar objects when input is entirely in image form. In this present work, template matching techniques is used to recognize the object using correlation. Here we mention each step which required detecting an object by using correlation technique with explanation, examples and outputs carried out on matlab software.

Correlation, Normalized cross correlation, Template Matching

"OBJECT DETECTION USING CORRELATION TECHNIQUE", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.1, Issue 5, page no.331-339, October-2014, Available :http://www.jetir.org/papers/JETIR1405017.pdf

"OBJECT DETECTION USING CORRELATION TECHNIQUE", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.1, Issue 5, page no. pp331-339, October-2014, Available at : http://www.jetir.org/papers/JETIR1405017.pdf