文章基本信息

标题：A Review on Video Object Tracking
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作者：Sandhya Tiwari ; Prof. Kapil Gupta ; Dr. Rahul Dubey 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：2017
卷号：5
期号：5
页码：9819
DOI：10.15680/IJIRCCE.2017.0505270
出版社：S&S Publications
摘要：The continuing research on object tracking in video sequences has attracted many researchers. Detectingthe objects within the video and monitoring its movement to establish its characteristics has been rising as a stressful betaught self-discipline within the area of snapshot processing and computer vision. This paper proposes a literaturereview on the cutting-edge monitoring strategies, categorize them into one-of-a-variety categories, after whichinvestigate valuable monitoring methods. Lots of the techniques incorporate object segmentation utilizing heritagesubtraction. The monitoring tactics use special methodologies like mean-shift, Kalman filter, Particle filter and manyothers. The effectively of the monitoring approaches ranges with recognizing to historic earlier information. On thissurvey, we have bought acknowledged the feature descriptors which perhaps utilized in monitoring to provide anexplanation for the looks of objects which perhaps being tracked as well as object detection methods. On this survey,we've classified the monitoring methods into three corporations, and an offering an exact description of advisormethods in every personnel, and become aware of their optimistic and negative elements.
关键词：Feature Descriptor; background modeling; Gaussian Mixture model; Kalman filter; Particle filer; Mean