A Review of Real Time Image Processing for Object Detection

A Review of Real Time Image Processing for Object Detection

Prof. Shivaji  Goroba Shinde1 ; Mr. Shubham Suresh Patil

 Shivajishinde261@gmail.com ; shubhpatil2211@gmail.com

TPCT’s College of Engineering , Osmanabad (Dharashiv), India.

Abstract

In past  days,  capture  images  with   very high  quality  and  good  size is so easy because  of  rapid  improvement  in  quality  of  capturing  device  with  less  costly but  superior technology. Videos are  a collect of sequential images with a constant time interval. So video can provide also more information about our object when scenarios about to changing with respect to time. Therefore, manually handling videosit can be   quite impossible. That time all that  need an automatic  devise to process these videos. In this thesis one such attempt has been made to track objects in videos. Many algorithms and technology have been developed to automate monitoring the object in a video file. Object detection and tracking is a one of the challenging task in computer vision. Mainly there are three  basic steps  in video  analysis: Detection  of  objects  of  Interest from moving objects, Tracking of that interested objects in  consecutive frames, and Analysis of object tracks to understand their behavior

Some common choice to choose suitable feature to categories, visual objects are intensity, shape, color and feature points. In  this  thesis, we studied about mean shift tracking based on the color pdf, optical flow tracking based on the intensity and motion; SIFT tracking based on scale invariant local feature points.

Keywords: real-time, object detection, tracking, surveillance