“Detection, identification and tracking of objects during the motion”

This paper intends to introduce discovery of various objects, object classification, object tracking algorithms including analysis and a comparison of different techniques used for different stages of tracking. The purpose of tracking objects is segmenting a region of interest from a video scene and continuing tracking movement, positioning, and match. Detection of the object and classification are the steps preceding the object tracking in a sequence of images. Object detection is performed to control the existence of objects in the video and find that object, and then the detected object can be classified into many categories such as people, vehicles, floating trees, trees and other moving objects. In this paper is elaborated the autonomous tracking system with the aim of opposing movement in the event of a demonstration of human tracking, as such may enable the former to be distributed as it comprises more than one control center, key component parts of the system include:The camera and its 'interface, arduino viewing boards., PC - Controlled Center.