| 基于视频的多目标车辆跟踪及轨迹优化 |
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| 引用本文： | 李俊彦,宋焕生,张朝阳,侯景严,武非凡.基于视频的多目标车辆跟踪及轨迹优化[J].计算机工程与应用,2020,56(5):194-199. |
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| 作者姓名： | 李俊彦 宋焕生 张朝阳 侯景严 武非凡 |
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| 作者单位： | 长安大学 信息工程学院，西安 710064 |
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| 基金项目： | 中央高校高新技术培育项目;教育部联合基金;陕西省重点研发计划重点项目 |
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| 摘 要： | 为了获取交通视频中车辆的运动轨迹，提供道路动态交通信息，提出一种基于Yolo3目标检测和KCF目标预测相结合，关联历史轨迹预测结果和检测结果的长时间多目标车辆跟踪算法；对采用机器视觉获取的车辆轨迹非平滑现象，提出通过Savitzky-Golay滤波器对原始的车辆轨迹进行平滑优化。对比测试场景中车辆轨迹优化前后，优化后的轨迹在保留原有车辆运动特征的前提下，改善了轨迹平滑性，提供的动态交通信息更能反映车辆真实运动状况。
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| 关 键 词： | 多目标跟踪 目标关联 轨迹优化 Savitzky-Golay滤波器 |
Multi-Object Vehicle Tracking and Trajectory Optimization Based on Video |
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| LI Junyan,SONG Huansheng,ZHANG Zhaoyang,HOU Jingyan,WU Feifan.Multi-Object Vehicle Tracking and Trajectory Optimization Based on Video[J].Computer Engineering and Applications,2020,56(5):194-199. |
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| Authors: | LI Junyan SONG Huansheng ZHANG Zhaoyang HOU Jingyan WU Feifan |
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| Affiliation: | School of Information Engineering, Chang’an University, Xi’an 710064, China |
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| Abstract: | In order to obtain the movement trajectory of the vehicle in the traffic video and provide the dynamic traffic information of the road,a long-term multi-object vehicle tracking algorithm based on the combination of Yolo3 object detection and KCF object prediction,associated historical trajectory prediction results and detection results is proposed.For the non-smooth phenomenon of vehicle trajectory acquired by machine vision,the original vehicle trajectory is smoothed and optimized by Savitzky-Golay filter.Before and after optimization of vehicle trajectory in the test scenes,the optimized trajectory improves the trajectory smoothness under the premise of retaining original vehicle motion characteristics,and the dynamic traffic information provided can better reflect real motion condition of vehicle. |
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| Keywords: | multi-object tracking object association trajectory optimization Savitzky-Golay filter |
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