Multi-marker tracking for large-scale X-ray stereo video data
作者：
Highlights：
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• Efficient and effective tracking of many objects in big data scale videos is tackled.
• A fast two-stage graph-based multi-object tracking-by-detection approach is proposed.
• Local and global features are adopted in the data association of each graph and tracks are found by optimizing a global objective.
• We apply the proposed approach to the tracking of implanted markers in stereo X-ray cardiac recordings and achieve human-level accuracy.
摘要
•Efficient and effective tracking of many objects in big data scale videos is tackled.•A fast two-stage graph-based multi-object tracking-by-detection approach is proposed.•Local and global features are adopted in the data association of each graph and tracks are found by optimizing a global objective.•We apply the proposed approach to the tracking of implanted markers in stereo X-ray cardiac recordings and achieve human-level accuracy.
论文关键词：Multi-object tracking,Data association,Directed acyclic graph,X-ray,Big data
论文评审过程：Received 6 January 2017, Revised 8 June 2017, Accepted 23 June 2017, Available online 28 June 2017, Version of Record 7 November 2017.
论文官网地址：https://doi.org/10.1016/j.image.2017.06.009
