A survey study on detecting and tracking objective methods

Ramasubramanian, M. and Rangaswamy, M A. Dorai and Reddy, G. N. V. Raja (2014) A survey study on detecting and tracking objective methods. In: 2014 IEEE National Conference On Emerging Trends In New & Renewable Energy Sources And Energy Management (NCET NRES EM), Chennai, India.

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 preceding 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 is. 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. © 2020 Elsevier B.V., All rights reserved.

Item Type: Conference or Workshop Item (Paper)
Subjects: Computer Science > Computer Vision and Pattern Recognition
Divisions: Arts and Science > School of Arts and Science, Chennai > Computer Science
Depositing User: Unnamed user with email techsupport@mosys.org
Last Modified: 10 Dec 2025 06:42
URI: https://vmuir.mosys.org/id/eprint/4092

Actions (login required)

View Item
View Item