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A Fast MEANSHIFT Algorithm-Based Target Tracking System

State Key Laboratory for Strength & Vibration, School of Aerospace, Xi’an Jiaotong University, Xi’an 710049, China
State Key Laboratory of Precision Measurement Technology and Instruments, Tsinghua University, Beijing 100084, China
College of Astronautics, Northwest Polytechnical University, Xi’an 710072, China
Sensors 2012, 12(6), 8218-8235;
Received: 13 April 2012 / Revised: 9 May 2012 / Accepted: 22 May 2012 / Published: 13 June 2012
(This article belongs to the Section Physical Sensors)
PDF [3880 KB, uploaded 21 June 2014]


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. View Full-Text
Keywords: target tracking system; moving object tracking; fast Mean-Shift algorithm target tracking system; moving object tracking; fast Mean-Shift algorithm
This is an open access article distributed under the Creative Commons Attribution License (CC BY 3.0).

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Sun, J. A Fast MEANSHIFT Algorithm-Based Target Tracking System. Sensors 2012, 12, 8218-8235.

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