Algorithms for tracking point targets in infrared sequences

L. Varsano; V. Adler; S. R. Rotman

doi:10.1117/12.629329

Algorithms for tracking point targets in infrared sequences

L. Varsano
, V. Adler
, S. R. Rotman

Research output: Contribution to journal › Conference article › peer-review

2 Scopus citations

Abstract

This research addresses the problem of tracking a moving point target from a time sequence of images. The images consist of targets moving at sub-pixel velocity in backgrounds which are influenced by both evolving clutter and noise. The demand for a low false alarm rate on one hand and a high probability of detection on the other makes the tracking a challenging task. We propose the following algorithm in which target detection and tracking is performed by the means of time domain processing. A variance-filter based algorithm is used to detect the presence of targets from the temporal profile of each pixel while suppressing clutter specific influences.

Original language	English
Article number	59870W
Journal	Proceedings of SPIE - The International Society for Optical Engineering
Volume	5987
DOIs	https://doi.org/10.1117/12.629329
State	Published - 1 Dec 2005
Externally published	Yes
Event	Electro-Optical and Infrared Systems: Technology and Applications II - Bruges, Belgium Duration: 26 Sep 2005 → 27 Sep 2005

Keywords

Clutter suppression
Metrics
Temporal filters
Tracking point targets

ASJC Scopus subject areas

Electronic, Optical and Magnetic Materials
Condensed Matter Physics
Computer Science Applications
Applied Mathematics
Electrical and Electronic Engineering

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10.1117/12.629329

Cite this

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title = "Algorithms for tracking point targets in infrared sequences",

abstract = "This research addresses the problem of tracking a moving point target from a time sequence of images. The images consist of targets moving at sub-pixel velocity in backgrounds which are influenced by both evolving clutter and noise. The demand for a low false alarm rate on one hand and a high probability of detection on the other makes the tracking a challenging task. We propose the following algorithm in which target detection and tracking is performed by the means of time domain processing. A variance-filter based algorithm is used to detect the presence of targets from the temporal profile of each pixel while suppressing clutter specific influences.",

keywords = "Clutter suppression, Metrics, Temporal filters, Tracking point targets",

author = "L. Varsano and V. Adler and Rotman, \{S. R.\}",

year = "2005",

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language = "English",

volume = "5987",

journal = "Proceedings of SPIE - The International Society for Optical Engineering",

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note = "Electro-Optical and Infrared Systems: Technology and Applications II ; Conference date: 26-09-2005 Through 27-09-2005",

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TY - JOUR

T1 - Algorithms for tracking point targets in infrared sequences

AU - Varsano, L.

AU - Adler, V.

AU - Rotman, S. R.

PY - 2005/12/1

Y1 - 2005/12/1

N2 - This research addresses the problem of tracking a moving point target from a time sequence of images. The images consist of targets moving at sub-pixel velocity in backgrounds which are influenced by both evolving clutter and noise. The demand for a low false alarm rate on one hand and a high probability of detection on the other makes the tracking a challenging task. We propose the following algorithm in which target detection and tracking is performed by the means of time domain processing. A variance-filter based algorithm is used to detect the presence of targets from the temporal profile of each pixel while suppressing clutter specific influences.

AB - This research addresses the problem of tracking a moving point target from a time sequence of images. The images consist of targets moving at sub-pixel velocity in backgrounds which are influenced by both evolving clutter and noise. The demand for a low false alarm rate on one hand and a high probability of detection on the other makes the tracking a challenging task. We propose the following algorithm in which target detection and tracking is performed by the means of time domain processing. A variance-filter based algorithm is used to detect the presence of targets from the temporal profile of each pixel while suppressing clutter specific influences.

KW - Clutter suppression

KW - Metrics

KW - Temporal filters

KW - Tracking point targets

UR - https://www.scopus.com/pages/publications/33644513986

U2 - 10.1117/12.629329

DO - 10.1117/12.629329

M3 - Conference article

AN - SCOPUS:33644513986

SN - 0277-786X

VL - 5987

JO - Proceedings of SPIE - The International Society for Optical Engineering

JF - Proceedings of SPIE - The International Society for Optical Engineering

M1 - 59870W

T2 - Electro-Optical and Infrared Systems: Technology and Applications II

Y2 - 26 September 2005 through 27 September 2005

ER -

Algorithms for tracking point targets in infrared sequences

Abstract

Keywords

ASJC Scopus subject areas

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