Multiple Hypothesis Tracking Revisited
Kim, Chanho, et al. 「Multiple hypothesis tracking revisited.」 Proceedings of the IEEE international conference on computer vision. 2015. Abstract 本文在檢測跟蹤框架中回顧了經典的多重假設跟蹤（MHT）算法。 MHT的成功在很大程度上取決於維持少量潛在假設
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相關文章
- 1. ICCV 2015 Multiple Hypothesis Tracking Revisited 閱讀筆記
- 2. CVPR 2017 Enhancing Detection Model for Multiple Hypothesis Tracking 閱讀筆記
- 3. Multiple Object Tracking Benchmark - MOT16
- 4. 多目標跟蹤競賽結果摘要：Multiple Object Tracking Challenge 2017 Results
- 5. Multiple Object Tracking：多目標跟蹤綜述
- 6. 《Online Multiple Pedestrian Tracking using Deep Temporal Appearance Matching Association》
- 7. 《Multi-Object Tracking with Multiple Cues and Switcher-Aware Classification》
- 8. 論文筆記：Multiple Object Tracking: A Literature Review
- 9. Hypothesis testing
- 10. Hypothesis Testing