A REVIEW ON DIFFERENT TECHNIQUES OF MOTION BASED OBJECT TRACKING SYSTEM
| Author(s) | : | Kahar Priyank J, Rajiv Kumar Gurjwar |
| Institution | : | Department of Computer Science, Parul Institute of Technology, Vadodara, GJ |
| Published In | : | Vol. 2, Issue 2 — February 2015 |
| Page No. | : | 181-184 |
| Domain | : | Engineering |
| Type | : | Research Paper |
| ISSN (Online) | : | 2348-4470 |
| ISSN (Print) | : | 2348-6406 |
Field of image processing consists of verity of operation like image recognition, image sharpening, imageretrieval, video analysis, video processing and video quality enhancement etc. Video processing mainly concentrated ontracking the object or retrieving the object’s properties from sequence of images, which is called as “frames”. In thispaper we are going to discuss about different object detection method, their adva ntages, limitations, assumptions etc.Gaussian mixture model (GMM) is one of those method used for object detection. GMM gives accurate result fordetecting objects with some assumption. Existing work is also on the basis of this model. So, efficiency of o bject detectionprocess can be improved by eliminating some of those assumptions.
Kahar Priyank J, Rajiv Kumar Gurjwar, “A REVIEW ON DIFFERENT TECHNIQUES OF MOTION BASED OBJECT TRACKING SYSTEM”, International Journal of Advance Engineering and Research Development (IJAERD), Vol. 2, Issue 2, pp. 181-184, February 2015.
