A fast algorithm for tracking human faces based on chromatic histograms

Tae Woong Yoo; Il Seok Oh

doi:10.1016/S0167-8655(99)00053-7

A fast algorithm for tracking human faces based on chromatic histograms

Tae Woong Yoo
, Il Seok Oh^*

^*Corresponding author for this work

K.

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

86 Scopus citations

Abstract

For the applications like video conferencing, real-time tracking of human faces is an essential task. In this paper, we propose a fast algorithm for tracking human face regions in color motion images. This algorithm is based on chromatic histogram and histogram backprojection operation. Our experimental results show that the proposed algorithm can be used in real-time applications. Additionally it has the advantage of being insensitive to small variations of face regions.

Original language	English
Pages (from-to)	967-978
Number of pages	12
Journal	Pattern Recognition Letters
Volume	20
Issue number	10
DOIs	https://doi.org/10.1016/S0167-8655(99)00053-7
State	Published - 1999.10

Keywords

Chromatic histogram
Color motion image
Histogram backprojection
Real-time face tracking

Quacquarelli Symonds(QS) Subject Topics

Computer Science & Information Systems
Data Science

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10.1016/S0167-8655(99)00053-7

Cite this

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title = "A fast algorithm for tracking human faces based on chromatic histograms",

abstract = "For the applications like video conferencing, real-time tracking of human faces is an essential task. In this paper, we propose a fast algorithm for tracking human face regions in color motion images. This algorithm is based on chromatic histogram and histogram backprojection operation. Our experimental results show that the proposed algorithm can be used in real-time applications. Additionally it has the advantage of being insensitive to small variations of face regions.",

keywords = "Chromatic histogram, Color motion image, Histogram backprojection, Real-time face tracking",

author = "Yoo, \{Tae Woong\} and Oh, \{Il Seok\}",

year = "1999",

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T1 - A fast algorithm for tracking human faces based on chromatic histograms

AU - Yoo, Tae Woong

AU - Oh, Il Seok

PY - 1999/10

Y1 - 1999/10

N2 - For the applications like video conferencing, real-time tracking of human faces is an essential task. In this paper, we propose a fast algorithm for tracking human face regions in color motion images. This algorithm is based on chromatic histogram and histogram backprojection operation. Our experimental results show that the proposed algorithm can be used in real-time applications. Additionally it has the advantage of being insensitive to small variations of face regions.

AB - For the applications like video conferencing, real-time tracking of human faces is an essential task. In this paper, we propose a fast algorithm for tracking human face regions in color motion images. This algorithm is based on chromatic histogram and histogram backprojection operation. Our experimental results show that the proposed algorithm can be used in real-time applications. Additionally it has the advantage of being insensitive to small variations of face regions.

KW - Chromatic histogram

KW - Color motion image

KW - Histogram backprojection

KW - Real-time face tracking

UR - https://www.scopus.com/pages/publications/0033204467

U2 - 10.1016/S0167-8655(99)00053-7

DO - 10.1016/S0167-8655(99)00053-7

M3 - Journal article

AN - SCOPUS:0033204467

SN - 0167-8655

VL - 20

SP - 967

EP - 978

JO - Pattern Recognition Letters

JF - Pattern Recognition Letters

IS - 10

ER -

A fast algorithm for tracking human faces based on chromatic histograms

Abstract

Keywords

Quacquarelli Symonds(QS) Subject Topics

Access to Document

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