{
  "id": 236338,
  "title": "Multi-object tracking papers",
  "url": "/competitions/iwildcam2021-fgvc8/discussion/236338",
  "author_name": "Nayu.T.S.",
  "post_date": "2021-05-03T20:55:29.653000",
  "votes": 3,
  "comment_count": 0,
  "views": 0,
  "content": "<p>I'm learning Multi-object tracking(MOT) to know how to detect the number of animals in the image burst. I found some references that may be helpful, so I will share them with you. The mainstream tracking method used banding boxes before introduction of Multi-object tracking and segmentation (MOTS) at 2019. Since it was difficult to find an open access version of the method using BBox, I will only list the titles of the papers that seem to be the most major. If you have any other recommendations for papers, please comment!</p>\n<h3>BBox only</h3>\n<ul>\n<li>L. Zhang, Y. Li, and R. Nevatia. Global data association for multiobject tracking using network flows. In CVPR, pages 1–8, 2008.</li>\n</ul>\n<h3>BBox + Instance mask (MOTS)</h3>\n<ul>\n<li><a href=\"https://arxiv.org/abs/1902.03604\" target=\"_blank\">MOTS: Multi-Object Tracking and Segmentation</a></li>\n<li><a href=\"https://arxiv.org/abs/2009.00100\" target=\"_blank\">Online Multi-Object Tracking and Segmentation with GMPHD Filter and\nSimple Affinity Fusion</a></li>\n<li><a href=\"https://arxiv.org/abs/2103.08808\" target=\"_blank\">Track to Detect and Segment: An Online Multi-Object Tracker</a></li>\n</ul>",
  "messages": [
    {
      "id": 1292336,
      "postDate": "2021-05-03T20:55:29.653Z",
      "content": "<p>I'm learning Multi-object tracking(MOT) to know how to detect the number of animals in the image burst. I found some references that may be helpful, so I will share them with you. The mainstream tracking method used banding boxes before introduction of Multi-object tracking and segmentation (MOTS) at 2019. Since it was difficult to find an open access version of the method using BBox, I will only list the titles of the papers that seem to be the most major. If you have any other recommendations for papers, please comment!</p>\n<h3>BBox only</h3>\n<ul>\n<li>L. Zhang, Y. Li, and R. Nevatia. Global data association for multiobject tracking using network flows. In CVPR, pages 1–8, 2008.</li>\n</ul>\n<h3>BBox + Instance mask (MOTS)</h3>\n<ul>\n<li><a href=\"https://arxiv.org/abs/1902.03604\" target=\"_blank\">MOTS: Multi-Object Tracking and Segmentation</a></li>\n<li><a href=\"https://arxiv.org/abs/2009.00100\" target=\"_blank\">Online Multi-Object Tracking and Segmentation with GMPHD Filter and\nSimple Affinity Fusion</a></li>\n<li><a href=\"https://arxiv.org/abs/2103.08808\" target=\"_blank\">Track to Detect and Segment: An Online Multi-Object Tracker</a></li>\n</ul>",
      "rawMarkdown": "I'm learning Multi-object tracking(MOT) to know how to detect the number of animals in the image burst. I found some references that may be helpful, so I will share them with you. The mainstream tracking method used banding boxes before introduction of Multi-object tracking and segmentation (MOTS) at 2019. Since it was difficult to find an open access version of the method using BBox, I will only list the titles of the papers that seem to be the most major. If you have any other recommendations for papers, please comment!\n\n### BBox only\n* L. Zhang, Y. Li, and R. Nevatia. Global data association for multiobject tracking using network flows. In CVPR, pages 1–8, 2008.\n\n### BBox + Instance mask (MOTS)\n* [MOTS: Multi-Object Tracking and Segmentation](https://arxiv.org/abs/1902.03604)\n* [Online Multi-Object Tracking and Segmentation with GMPHD Filter and\nSimple Affinity Fusion](https://arxiv.org/abs/2009.00100)\n* [Track to Detect and Segment: An Online Multi-Object Tracker](https://arxiv.org/abs/2103.08808)",
      "votes": 3
    }
  ],
  "comments": [],
  "raw_markdown_by_id": {
    "1292336": "I'm learning Multi-object tracking(MOT) to know how to detect the number of animals in the image burst. I found some references that may be helpful, so I will share them with you. The mainstream tracking method used banding boxes before introduction of Multi-object tracking and segmentation (MOTS) at 2019. Since it was difficult to find an open access version of the method using BBox, I will only list the titles of the papers that seem to be the most major. If you have any other recommendations for papers, please comment!\n\n### BBox only\n* L. Zhang, Y. Li, and R. Nevatia. Global data association for multiobject tracking using network flows. In CVPR, pages 1–8, 2008.\n\n### BBox + Instance mask (MOTS)\n* [MOTS: Multi-Object Tracking and Segmentation](https://arxiv.org/abs/1902.03604)\n* [Online Multi-Object Tracking and Segmentation with GMPHD Filter and\nSimple Affinity Fusion](https://arxiv.org/abs/2009.00100)\n* [Track to Detect and Segment: An Online Multi-Object Tracker](https://arxiv.org/abs/2103.08808)"
  }
}