Real Time Movable Object Detection, Tracking and Velocity Estimation Using Image Processing

Authors

  • Miksha Upadhyay -
  • prof.Jignesh.R.Patel Vision System, Movable Object Detection and Tracking, Features Extraction, Distance Measurment, Velocity Estimation.

Keywords:

Vision System, Movable Object Detection and Tracking, Features Extraction, Distance Measurment, Velocity Estimation.

Abstract

Moving object detection and tracking is often the first step in applications such as video surveillance, Trajectory Prediction,etc.
The main aim of this research is moving object detection and tracking system w ith a static camera has been developed to estimate velocity,
distance parameters. We propose a general moving object detection and tracking based on vision system using image processing
algorithm. This paper focus on detect and track the moving object in the scene and estimate the velocity of moving object. In this paper an
algorithm is implemented on track the movable object in different video frames using the color feature extraction. This is done by using
Matlab software and we could calculate Distance travelled by the object in different frames and estimate the velocity using simple image
processing algorithm.

Published

2022-04-27

How to Cite

Miksha Upadhyay, & prof.Jignesh.R.Patel. (2022). Real Time Movable Object Detection, Tracking and Velocity Estimation Using Image Processing. International Journal of Advance Engineering and Research Development (IJAERD), 2(13), -. Retrieved from http://ijaerd.com/index.php/IJAERD/article/view/5678