您当前的位置: > 详细浏览

Confident Association for Long-term Tracking

请选择邀稿期刊:
摘要: Aiming at the exponential growth of solution scale in multiple hypothesis tracking (MHT), a continuous consistency model (CCM) is proposed. The key to improve MHT performance is to improve the effi#2;ciency of branch management. However, due to the inevitable detector failure, when the tree is expanded and each detection is organized as the root node of the new tree, a large number of virtual nodes are used. This leads to rapid growth of branches. Different from previous MHT implementations, CCM divides detection into four categories, in#2;cluding continuous, left continuous, right continuous and discontinuous. Comparative experiments show that CCM has significantly improved the computational efficiency and obtained the most advanced results on MOT challenge benchmark.

版本历史

[V1] 2024-01-07 23:12:19 ChinaXiv:202401.00074V1 下载全文
点击下载全文
预览
同行评议状态
待评议
许可声明
metrics指标
  •  点击量502
  •  下载量75
评论
分享
申请专家评阅