首页> 外文期刊>Sensors >A Fast MEANSHIFT Algorithm-Based Target Tracking System
【24h】

A Fast MEANSHIFT Algorithm-Based Target Tracking System

机译:基于快速MEANSHIFT算法的目标跟踪系统

获取原文
           

摘要

Tracking moving targets in complex scenes using an active video camera is a challenging task. Tracking accuracy and efficiency are two key yet generally incompatible aspects of a Target Tracking System (TTS). A compromise scheme will be studied in this paper. A fast mean-shift-based Target Tracking scheme is designed and realized, which is robust to partial occlusion and changes in object appearance. The physical simulation shows that the image signal processing speed is >50 frame/s.
机译:使用有源摄像机跟踪复杂场景中的移动目标是一项艰巨的任务。跟踪准确性和效率是目标跟踪系统(TTS)的两个关键但普遍不兼容的方面。本文将研究一种折衷方案。设计并实现了一种基于均值漂移的快速目标跟踪方案,该方案对于部分遮挡和物体外观变化具有鲁棒性。物理仿真表明,图像信号处理速度大于50帧/秒。

著录项

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