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  • 标题:Moving Object Tracking Techniques: A Critical Review
  • 本地全文:下载
  • 作者:Sandeep Kumar Patel ; Agya Mishra
  • 期刊名称:Indian Journal of Computer Science and Engineering
  • 印刷版ISSN:2231-3850
  • 电子版ISSN:0976-5166
  • 出版年度:2013
  • 卷号:4
  • 期号:2
  • 页码:95-102
  • 出版社:Engg Journals Publications
  • 摘要:Moving Object Tracking is one of the challenging problems in the field of computer vision, surveillance, traffic monitoring, video compression etc. The goal of object tracking is to locate a moving object in consecutive video frames. Normally a video tracking system combines three stages of data treating; object extraction, object recognition & tracking, and decisions about activities. This paper presents a critical review of various video object tracking techniques like point tracking, kernel tracking and Silhouette tracking algorithms. Comparison of all the techniques concludes the better approach for its future research.
  • 关键词:Moving Object Tracking; Object extraction; Object recognition; Occlusion; Daubechies Complex Wavelet Transform (CxWT); Dual-Tree Complex Wavelet Transform (CxWT).
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