A new tracking method for small infrared targets

Lei Yang; Weiping Lu; Jie Yang

doi:10.1109/ICIP.2009.5414290

A new tracking method for small infrared targets

Lei Yang, Weiping Lu, Jie Yang

School of Engineering & Physical Sciences

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

10 Citations (Scopus)

Abstract

We report on a new approach to tracking small infrared targets. The method improves on existing target trackers by combining mean-shift tracker with Kalman filtering and by updating the tracking parameters through the measurement of the complexity of the target region. We have further developed a nonlinear algorithm to improve the robustness of the traditional mean-shift tracker for small infrared targets. Experimental results demonstrate a superior performance of our method compared to existing target trackers, particularly in the environment of strong measurement noise and large variation of illumination. ©2009 IEEE.

Original language	English
Title of host publication	2009 IEEE International Conference on Image Processing, ICIP 2009 - Proceedings
Pages	3609-3612
Number of pages	4
DOIs	https://doi.org/10.1109/ICIP.2009.5414290
Publication status	Published - 2009
Event	16th IEEE International Conference on Image Processing 2009 - Cairo, Egypt Duration: 7 Nov 2009 → 12 Nov 2009

Conference

Conference	16th IEEE International Conference on Image Processing 2009
Abbreviated title	ICIP 2009
Country/Territory	Egypt
City	Cairo
Period	7/11/09 → 12/11/09

Keywords

Algorithms
Infrared tracking

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10.1109/ICIP.2009.5414290

Cite this

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title = "A new tracking method for small infrared targets",

abstract = "We report on a new approach to tracking small infrared targets. The method improves on existing target trackers by combining mean-shift tracker with Kalman filtering and by updating the tracking parameters through the measurement of the complexity of the target region. We have further developed a nonlinear algorithm to improve the robustness of the traditional mean-shift tracker for small infrared targets. Experimental results demonstrate a superior performance of our method compared to existing target trackers, particularly in the environment of strong measurement noise and large variation of illumination. {\textcopyright}2009 IEEE.",

keywords = "Algorithms, Infrared tracking",

author = "Lei Yang and Weiping Lu and Jie Yang",

year = "2009",

doi = "10.1109/ICIP.2009.5414290",

language = "English",

isbn = "9781424456543",

pages = "3609--3612",

booktitle = "2009 IEEE International Conference on Image Processing, ICIP 2009 - Proceedings",

note = "16th IEEE International Conference on Image Processing 2009, ICIP 2009 ; Conference date: 07-11-2009 Through 12-11-2009",

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TY - GEN

T1 - A new tracking method for small infrared targets

AU - Yang, Lei

AU - Lu, Weiping

AU - Yang, Jie

PY - 2009

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N2 - We report on a new approach to tracking small infrared targets. The method improves on existing target trackers by combining mean-shift tracker with Kalman filtering and by updating the tracking parameters through the measurement of the complexity of the target region. We have further developed a nonlinear algorithm to improve the robustness of the traditional mean-shift tracker for small infrared targets. Experimental results demonstrate a superior performance of our method compared to existing target trackers, particularly in the environment of strong measurement noise and large variation of illumination. ©2009 IEEE.

AB - We report on a new approach to tracking small infrared targets. The method improves on existing target trackers by combining mean-shift tracker with Kalman filtering and by updating the tracking parameters through the measurement of the complexity of the target region. We have further developed a nonlinear algorithm to improve the robustness of the traditional mean-shift tracker for small infrared targets. Experimental results demonstrate a superior performance of our method compared to existing target trackers, particularly in the environment of strong measurement noise and large variation of illumination. ©2009 IEEE.

KW - Algorithms

KW - Infrared tracking

UR - http://www.scopus.com/inward/record.url?scp=77951957226&partnerID=8YFLogxK

U2 - 10.1109/ICIP.2009.5414290

DO - 10.1109/ICIP.2009.5414290

M3 - Conference contribution

SN - 9781424456543

SP - 3609

EP - 3612

BT - 2009 IEEE International Conference on Image Processing, ICIP 2009 - Proceedings

T2 - 16th IEEE International Conference on Image Processing 2009

Y2 - 7 November 2009 through 12 November 2009

ER -

A new tracking method for small infrared targets

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Keywords

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