• Amit
• Kirti Bhatia
• Rohini Sharma
• Shalini Bhadola

Image processing is a technique of mining certain valuable information by transforming picture into digital form and through applying few operations over it. Detection and tracking of an object are significant and interesting jobs which are used in video surveillance and automobile navigation. Video surveillance is a methodology that operates in dynamic atmosphere for different types of applications events like games, public protection, and traffic handling. In today scenario, the video surveillance is an essential element of our daily routine life. At every public or private place we required object tracking mechanism for safety of the humans. Visual observation of actions of objects through programmed cameras without human involvement is an interesting issue. Detection of moving object is quite significant during intelligence observations. This article develops and analyses the results of proposed method of detecting and tracking an object into moving video. We have also separated the background section from the image. The main objective of this article is to provide a new method for object detection and tacking in an unfamiliar background which may diverge from an uncomplicated or white background to an enormously complicated background comprising of several objects of dissimilar form and dimensions. It significantly enhances the applicability of the application in a actual atmosphere instead of a simulated atmosphere.

Object Detection and tracking, Image processing, Background detection

"DEVELOPEMNT AND ANALYSIS OF OBJECT TRACKING TOOL", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.6, Issue 5, page no.522-530, May-2019, Available :http://www.jetir.org/papers/JETIR1905C75.pdf

"DEVELOPEMNT AND ANALYSIS OF OBJECT TRACKING TOOL", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.6, Issue 5, page no. pp522-530, May-2019, Available at : http://www.jetir.org/papers/JETIR1905C75.pdf