文章基本信息

标题：Survey on Object Detection and Tracking Using Fusion Approach
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作者：K Bavithra ; X Asha ; R S RamPriya 等
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