首页    期刊浏览 2024年11月08日 星期五
登录注册

文章基本信息

  • 标题:Survey on Object Detection and Tracking Using Fusion Approach
  • 本地全文:下载
  • 作者:K Bavithra ; X Asha ; R S RamPriya
  • 期刊名称:International Journal of Innovative Research in Computer and Communication Engineering
  • 印刷版ISSN:2320-9798
  • 电子版ISSN:2320-9801
  • 出版年度:2016
  • 卷号:4
  • 期号:3
  • 页码:4150
  • DOI:10.15680/IJIRCCE.2016.0403098
  • 出版社:S&S Publications
  • 摘要:Detection, tracking and classification of various moving object is an emerging field in object detection and tracking. The most aim of this review is to present an overview of the disputes involved in the existing systems and also detecting, tracking and classifying the moving object using the fusion appr oach. The design of fusion approach includes three different sensors like LIDAR, RADAR, and Camera . This fusion approach adds the benefits of Simultaneous Localization and Mapping and Detection and Tracking Moving Object task and reduces the inaccuracy . M any detection and tracking algorithms are discussed in this paper. This survey paper explains how to progress and build up the efficiency in categorization of movin g object detection and tracking using Fusion Approach
  • 关键词:Fusion Approach;Object Detection; Tracking;SLAM; DATMO
国家哲学社会科学文献中心版权所有