Ramasubramanian, M. and Rangaswamy, M. A. Dorai and Reddy, G. N. V. Raja (2014) A Survey Study On Detecting And Tracking Objective Methods. 2014 IEEE NATIONAL CONFERENCE ON EMERGING TRENDS IN NEW & RENEWABLE ENERGY SOURCES AND ENERGY MANAGEMENT (NCET NRES EM). pp. 159-164.
Full text not available from this repository.Abstract
The purpose of prosecution is segmentation feature a region of interest in a video scene and retention proposal, positioning and locking. Object detection and classification of objects are preceded steps for tracking an object in the image sequence. Object detection is done to check for objects in the video and find out exactly what the object. Then the detected object can be classified into different categories, such as people, vehicles, birds, clouds floating, swaying trees and other moving objects. Object Tracking is performed using spatial and temporal changes of items during a video monitoring, including presence, position, size, shape, etc. The object is used in several applications such as video surveillance, robot vision, monitoring traffic Video and Animation painting. This paper presents a brief overview of object detection, object classification and object tracking different algorithms available in the literature, including the analysis and comparative study of the various techniques used at various stages of prosecution.
| Item Type: | Article |
|---|---|
| Uncontrolled Keywords: | Object Detection, Object Tracking, Object Classification, Video Surveillance, and Background Modeling |
| Depositing User: | Unnamed user with email techsupport@mosys.org |
| Last Modified: | 06 Feb 2026 06:51 |
| URI: | https://ir.vmrfdu.edu.in/id/eprint/6070 |
