Head tracking using particle filter with intensity gradient and color histogram

Xinyu Xu; Baoxin Li

doi:10.1109/ICME.2005.1521566

Head tracking using particle filter with intensity gradient and color histogram

Xinyu Xu, Baoxin Li

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

27 Scopus citations

Abstract

This paper presents a method for tracking human head using a particle filter to naturally integrate two complementary cues: intensity gradient and color histogram. The shape of the head is modeled as an ellipse, along which an intensity gradient is estimated, while the interior appearance is modeled using a color histogram. These two cues play complementary roles in tracking a human head with free rotation on a cluttered background. To evaluate the tracker performance, we test with both synthetic image sequences and real sequences. Experiments show that the tracker is robust to 360-degree rotation of the head on a cluttered background.

Original language	English (US)
Title of host publication	IEEE International Conference on Multimedia and Expo, ICME 2005
Pages	888-891
Number of pages	4
DOIs	https://doi.org/10.1109/ICME.2005.1521566
State	Published - Dec 1 2005
Event	IEEE International Conference on Multimedia and Expo, ICME 2005 - Amsterdam, Netherlands Duration: Jul 6 2005 → Jul 8 2005

Publication series

Name	IEEE International Conference on Multimedia and Expo, ICME 2005
Volume	2005

Other

Other	IEEE International Conference on Multimedia and Expo, ICME 2005
Country/Territory	Netherlands
City	Amsterdam
Period	7/6/05 → 7/8/05

ASJC Scopus subject areas

General Engineering

Access to Document

10.1109/ICME.2005.1521566

Cite this

Xu, X & Li, B 2005, Head tracking using particle filter with intensity gradient and color histogram. in IEEE International Conference on Multimedia and Expo, ICME 2005., 1521566, IEEE International Conference on Multimedia and Expo, ICME 2005, vol. 2005, pp. 888-891, IEEE International Conference on Multimedia and Expo, ICME 2005, Amsterdam, Netherlands, 7/6/05. https://doi.org/10.1109/ICME.2005.1521566

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title = "Head tracking using particle filter with intensity gradient and color histogram",

abstract = "This paper presents a method for tracking human head using a particle filter to naturally integrate two complementary cues: intensity gradient and color histogram. The shape of the head is modeled as an ellipse, along which an intensity gradient is estimated, while the interior appearance is modeled using a color histogram. These two cues play complementary roles in tracking a human head with free rotation on a cluttered background. To evaluate the tracker performance, we test with both synthetic image sequences and real sequences. Experiments show that the tracker is robust to 360-degree rotation of the head on a cluttered background.",

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year = "2005",

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doi = "10.1109/ICME.2005.1521566",

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series = "IEEE International Conference on Multimedia and Expo, ICME 2005",

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AB - This paper presents a method for tracking human head using a particle filter to naturally integrate two complementary cues: intensity gradient and color histogram. The shape of the head is modeled as an ellipse, along which an intensity gradient is estimated, while the interior appearance is modeled using a color histogram. These two cues play complementary roles in tracking a human head with free rotation on a cluttered background. To evaluate the tracker performance, we test with both synthetic image sequences and real sequences. Experiments show that the tracker is robust to 360-degree rotation of the head on a cluttered background.

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M3 - Conference contribution

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T3 - IEEE International Conference on Multimedia and Expo, ICME 2005

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BT - IEEE International Conference on Multimedia and Expo, ICME 2005

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Y2 - 6 July 2005 through 8 July 2005

ER -

Head tracking using particle filter with intensity gradient and color histogram

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