A Computer Vision Process to Detect and Track Real Time Object

Abstract

This Paper explores the detection and tracking of single real time moving object from the sequence of the frame and also to extract, recognize, and tracking an object without changing its perspective, position, radiance and any deformity The central objective of thesis is to examine the difficulties carry out for classification of object detection and tracking methods.This paper  defines the existence of moving object in the video frames and to keep the track of an object’s motion and positioning. This paper basically defines an explanation of different object detection and tracking process method using different algorithms. Thus, this object detection and tracking carried into two steps such as frame subtraction using OTSU’s thresholding technique. Object representation using point which is a centroid. Kalman filter for object tracking. The work motivated in this paper for relevant extraction of an object from its foreground and background interference using different subtraction and filtering methods. Where first step will be the object detection using frame subtraction method and tracking can be done using kalman filter. These steps will help in object detection and tracking.