摘要
针对飞艇沿公路飞行获取的高清晰交通视频,研究基于蒙特卡罗算法的车辆跟踪方法。该方法用蒙特卡罗算法预测目标下一时刻的一组状态(位置和尺度);然后通过计算得到各预测状态中与参考目标的状态相似度最大的一个,即为车辆目标跟踪的结果。研究结果表明:该方法能实时、准确地跟踪道路上无规律、非线性运动的车辆,并能够应对跟踪过程中的短时遮挡情况。
Aiming to the high-definition traffic video collected by airship flying along road,a vehicle tracking approach based on Monte-Carlo algorithm is proposed.The particles state characteristics such as position and scale can be obtained by Monte-Carlo algorithm to forecast.Since the similarity between each forecasted state and the state of reference target can be derived,the state with maximum similarity can be identified,which is treated as the tracking result.The Experiment research shows that this approach can track the irregular and nonlinear moving vehicles real-time and accurately,deal with the situation of short time occlusion as well.
出处
《测绘学报》
EI
CSCD
北大核心
2011年第2期200-203,共4页
Acta Geodaetica et Cartographica Sinica
基金
国家科技支撑计划(2008BAK49B02)
国家863计划(2009AA11Z213
2009AA11Z218)
测绘遥感信息工程国家重点实验室专项研究基金
关键词
车辆跟踪
蒙特卡罗算法
低空数据采集平台
交通视频
vehicle tracking
Monte-Carlo algorithm
low-altitude data collection platform
traffic video
