REVIEW ON DETECTION AND TRACKING OF IMAGE AND VIDEO BY USING MOTION ANALYSIS

Abstract

Object detection and tracking is important and challenging tasks in many computer vision applications such as
surveillance, vehicle navigation, and autonomous robot navigation. This paper is focused on five existing object detection
and tracking techniques. Also this paper presents the moving object detection and tracking using reference Background
Subtraction. In proposed method, first frame of video is directly consider as Reference Background Frame and this frame is
subtract from current frame to detect moving object and then set threshold T value. If the pixel difference is greater than the
set threshold T, then it determines that the pixels from moving object, otherwise, as the background pixels. But this fixed
threshold suitable only for an ideal condition is not suitable for complex environment with lighting changes. So, this paper
used dynamic optimization threshold method to obtain a more complete moving objects.