Subjects: Computer Science >> Computer Application Technology submitted time 2024-01-07
Abstract: 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.
Peer Review Status:Awaiting Review