Confident Association for Long-term Tracking

分类： 计算机科学 >> 计算机应用技术 提交时间： 2024-01-07

zhaohuizuo

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.

同行评议状态:待评议

 点击量 630  下载量 137  评论