论文阅读Multiple People Tracking by Lifted Multicut and Person Re-identification
通过Lifted Muliticut和行人重识别进行多行人跟踪 1. 摘要 多行人跟踪中，遮挡处理和person re-identification是比较重要的。 本文的创新点： 1、 将multi-persontracking问题看成最小化代价lifted multicut问题。在regular edges的基础上引入lifted edges。 2、 设计并训练融合
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相关文章
- 1. CVPR 2017 Multiple People Tracking by Lifted Multicut and Person Re-identification 阅读笔记
- 2. Paper reading:Multiple People Tracking by Lifted Multicut and Person Re-identification
- 3. Real-time Multiple People Tracking with Deeply Learned Candidate Selection and Person Re-identificat...
- 4. 论文阅读：《POI: Multiple Object Tracking with High Performance Detection and Appearance Feature 》
- 5. 论文阅读-understanding and diagnosing visual tracking
- 6. 【论文阅读】Improving Person Re-identification by Attribute and Identity Learning
- 7. 论文笔记Multiple Object Tracking by Flowing and Fusing
- 8. 【论文分享CVPR2020】Multiple Object Tracking by Flowing and Fusing
- 9. 【论文翻译】Multiple Object Tracking by Flowing and Fusing（CVPR2020）
- 10. [论文阅读]Learning Discriminative Features with Multiple Granularityfor Person Re-Identification