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一种基于快速 MEANSHIFT 的目标跟踪系统。

A fast MEANSHIFT algorithm-based target tracking system.

机构信息

State Key Laboratory for Strength & Vibration, School of Aerospace, Xi'an Jiaotong University, Xi'an 710049, China.

出版信息

Sensors (Basel). 2012;12(6):8218-35. doi: 10.3390/s120608218. Epub 2012 Jun 13.

DOI:10.3390/s120608218
PMID:22969397
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC3436026/
Abstract

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.

摘要

使用主动摄像机跟踪复杂场景中的运动目标是一项具有挑战性的任务。跟踪精度和效率是目标跟踪系统（TTS）的两个关键但通常不兼容的方面。本文将研究一种折衷方案。设计并实现了一种快速基于均值漂移的目标跟踪方案，该方案对部分遮挡和目标外观变化具有鲁棒性。物理模拟表明，图像处理速度>50 帧/秒。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/9cc3/3436026/96552ed42e2b/sensors-12-08218f1.jpg

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