Automated System for Identification of Moving Object Using Dip

Abstract

This project deals with the tracking and following of a single object in a sequence of frames and the velocity of the object is determined. Algorithms are developed for improving the image quality, segmentation, feature extraction and for deterring the velocity. Segmentation is performed to detect the object after reducing the noise from that scene. The object is tracked by plotting a rectangular bounding box around it in each frame. The velocity of the object is determined by calculating the distance that the object moved in a sequence of frames with respect to the frame rate that the video is recorded. The algorithms developed can also be used for other applications (real-time, object classification, etc.). In this project, we use an inbuilt AVI file and then we show it after decompress it with the help of VIRTUALDUB1.9.10 software. After that, we apply all the above algorithms for tracking the object.