首页> 外文期刊>Journal of information and computational science >Trajectory Partition Method Based on Multi-constraints
【24h】

Trajectory Partition Method Based on Multi-constraints

机译:基于多约束的轨迹划分方法

获取原文
获取原文并翻译 | 示例
获取外文期刊封面目录资料

摘要

The existing trajectory partition methods just consider the position and length information of trajectories rather than other factors. Aiming at the problem, "corner detection" algorithm in image engineering is introduced into trajectory partition. In this paper, trajectory partition method based on multi-constraints is proposed to take into account trajectory's characteristics, such as position, opening angle, direction angle, velocity and so on. According to the algorithm, the trajectory is divided using "corner detection" algorithm with position parameters and opening angle firstly. Then, the trajectory segments are divided with the characteristics like direction angle and velocity once more. Finally, the experiments show that the trajectories are divided into trajectory segments accurately and effectively by our algorithm. At the same time, the characteristics of trajectory segments are well preserved too.
机译:现有的轨迹划分方法仅考虑轨迹的位置和长度信息,而不考虑其他因素。针对该问题,将图像工程中的“角点检测”算法引入到轨迹划分中。考虑到轨迹的位置,开度,方向角,速度等特性,提出了一种基于多约束的轨迹划分方法。根据该算法,首先使用“角检测”算法将轨迹与位置参数和开度角分开。然后,将轨迹段再次划分为具有方向角和速度之类的特征。最后,实验表明,该算法将轨迹准确,有效地划分为轨迹段。同时,轨迹段的特征也得到了很好的保留。

著录项

  • 来源
    《Journal of information and computational science》 |2011年第8期|p.1311-1318|共8页
  • 作者

    Lei Zhang; Jing Li; Chenshou Han;

  • 作者单位

    School of Computer Science and Technology, China University of Mining and Technology Xuzhou, Jiangsu 221116, China;

    School of Computer Science and Technology, China University of Mining and Technology Xuzhou, Jiangsu 221116, China;

    School of Computer Science and Technology, China University of Mining and Technology Xuzhou, Jiangsu 221116, China;

  • 收录信息
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

    multi-constraints; trajectory; partition;

    机译:多约束弹道;划分;

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱:kefu@zhangqiaokeyan.com

京公网安备:11010802029741号 ICP备案号:京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有
  • 客服微信

  • 服务号