Object Classification and Tracking in Real Time

Author:

Das Amlan Jyoti1,Saikia Navajit2,Sarma Kandarpa Kumar1ORCID

Affiliation:

1. Gauhati University, India

2. Assam Engineering College, India

Abstract

Algorithms for automatic processing of visual data have been a topic of interest since the last few decades. Object tracking and classification methods are highly demanding in vehicle traffic control systems, surveillance systems for detecting unauthorized movement of vehicle and human, mobile robot applications, animal tracking, etc. There are still many challenging issues while dealing with dynamic background, occlusion, etc. in real time. This chapter presents an overview of various existing techniques for object detection, classification and tracking. As the most important requirements of tracking and classification algorithms are feature extraction and selection, different feature types are also included.

Publisher

IGI Global

Reference141 articles.

1. Hierarchical Model-Based Motion Estimation

2. Support vector tracking;S.Avidan;IEEE Conference on Computer Vision and Pattern Recognition (CVPR),2001

3. Performance of optical flow techniques

4. Speeded-Up Robust Features (SURF)

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3