自动化学报2012，Vol.38Issue(1)：139-144,6.
基于MSPF的实时监控多目标跟踪算法研究
Research on Real-time Multi-target Tracking Algorithm Based on MSPF
摘要
Abstract
Recently, real-time monitoring multi-target tracking as an important component of intelligent transportation system (ITS) has been paid much attention. The traditional multi-target tracking algorithm has problems that the processing speed is slow and the false matches may happen when vehicles cross. Firstly, the algorithm detects moving targets through modeling a complex background based on Bayesian rules, then introduces a multi-target tracking algorithm based on mean shift particle filter (MSPF). Firstly, the algorithm predicts the extent possible by the use of MSPF for each vehicle in the next frame, uses different detection strategies for simple or multiple targets to avoid a global search and improve the tracking speed; by constructing the importance density function based on the latest observations, the algorithm can achieve an accurate and robust tracking in the part of the block and cross-vehicle. Simulation results verify the proposed algorithm.关键词
视频车辆/多目标跟踪/Mean shift粒子滤波/鲁棒性Key words
Video vehicle/multi-target tracking/mean shift particle filter (MSPF)/robustness引用本文复制引用
王相海,方玲玲,丛志环..基于MSPF的实时监控多目标跟踪算法研究[J].自动化学报,2012,38(1):139-144,6.基金项目
辽宁省自然基金项目(20102123),辽宁"百千万人才工程"项目(2008921036),南京邮电大学图像处理与图像通信江苏省重点实验室开放基金(LBEK2010003),计算机软件新技术国家重点实验室开放基金(KFKT2011B11)资助 （20102123）
