Non-rigid visual object tracking using user-defined marker and Gaussian kernel

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• 作者：Guoheng Huang ; Chi-Man Pun ; Cong Lin ; Yicong Zhou
• 刊名：Multimedia Tools and Applications
• 出版年：2016
• 出版时间：May 2016
• 年：2016
• 卷：75
• 期：10
• 页码：5473-5492
• 全文大小：5,566 KB
• 刊物类别：Computer Science
• 刊物主题：Multimedia Information Systems
  Computer Communication Networks
  Data Structures, Cryptology and Information Theory
  Special Purpose and Application-Based Systems
  
• 出版者：Springer Netherlands
• ISSN：1573-7721
• 卷排序：75

文摘

A novel non-rigid object tracking based on interactive user-define marker and superpixel Gaussian kernel is proposed in this paper. In the initialization stage, instead of using the traditional bounding box to locate the targeted object, we have employed an interactive segmentation with user-defined marker to segment the object accurately in the first frame of the input video to avoid the background influence in the traditional bounding box. During the tracking stage, by using a Gaussian kernel as movement constraint, each superpixel is tracked independently to locate the object in the next frame. Experimental results show that the proposed method compared to state of the art methods can achieve better robustness and accuracy for various challenging video clips.KeywordsObject trackingNon-rigidSuperpixelInteractive segmentationGaussian kernel