A DPM based object detector using HOG-LBP features

Tanase Cucliciu; Chih Yang Lin; Kahlil Muchtar

doi:10.1109/ICCE-China.2017.7991122

A DPM based object detector using HOG-LBP features

Tanase Cucliciu, Chih Yang Lin, Kahlil Muchtar

Department of Mechanical Engineering

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

7 Scopus citations

Abstract

In this paper, we combine Histogram of Oriented Gradients (HOG) and Local Binary Pattern (LBP) in order to detect the cranium and its components; namely, the brain, eyes and mouth. Furthermore, Deformable Part Model (DPM) algorithm is paired with the AdaBoost for training and classification. We use a CT/PET database acquired from the National Biomedical Imaging Archive (NBIA) in order to train and test our solution.

Original language	English
Title of host publication	2017 IEEE International Conference on Consumer Electronics - Taiwan, ICCE-TW 2017
Publisher	Institute of Electrical and Electronics Engineers Inc.
Pages	315-316
Number of pages	2
ISBN (Electronic)	9781509040179
DOIs	https://doi.org/10.1109/ICCE-China.2017.7991122
State	Published - 25 Jul 2017
Event	4th IEEE International Conference on Consumer Electronics - Taiwan, ICCE-TW 2017 - Taipei, United States Duration: 12 Jun 2017 → 14 Jun 2017

Publication series

Name	2017 IEEE International Conference on Consumer Electronics - Taiwan, ICCE-TW 2017

Conference

Conference	4th IEEE International Conference on Consumer Electronics - Taiwan, ICCE-TW 2017
Country/Territory	United States
City	Taipei
Period	12/06/17 → 14/06/17

Access to Document

10.1109/ICCE-China.2017.7991122

Cite this

Cucliciu, T., Lin, C. Y., & Muchtar, K. (2017). A DPM based object detector using HOG-LBP features. In 2017 IEEE International Conference on Consumer Electronics - Taiwan, ICCE-TW 2017 (pp. 315-316). Article 7991122 (2017 IEEE International Conference on Consumer Electronics - Taiwan, ICCE-TW 2017). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/ICCE-China.2017.7991122

@inproceedings{d31dadaf9b2749d9a34d08757111c87c,

title = "A DPM based object detector using HOG-LBP features",

abstract = "In this paper, we combine Histogram of Oriented Gradients (HOG) and Local Binary Pattern (LBP) in order to detect the cranium and its components; namely, the brain, eyes and mouth. Furthermore, Deformable Part Model (DPM) algorithm is paired with the AdaBoost for training and classification. We use a CT/PET database acquired from the National Biomedical Imaging Archive (NBIA) in order to train and test our solution.",

author = "Tanase Cucliciu and Lin, {Chih Yang} and Kahlil Muchtar",

note = "Publisher Copyright: {\textcopyright} 2017 IEEE.; 4th IEEE International Conference on Consumer Electronics - Taiwan, ICCE-TW 2017 ; Conference date: 12-06-2017 Through 14-06-2017",

year = "2017",

month = jul,

day = "25",

doi = "10.1109/ICCE-China.2017.7991122",

language = "???core.languages.en_GB???",

series = "2017 IEEE International Conference on Consumer Electronics - Taiwan, ICCE-TW 2017",

publisher = "Institute of Electrical and Electronics Engineers Inc.",

pages = "315--316",

booktitle = "2017 IEEE International Conference on Consumer Electronics - Taiwan, ICCE-TW 2017",

}

Cucliciu, T, Lin, CY & Muchtar, K 2017, A DPM based object detector using HOG-LBP features. in 2017 IEEE International Conference on Consumer Electronics - Taiwan, ICCE-TW 2017., 7991122, 2017 IEEE International Conference on Consumer Electronics - Taiwan, ICCE-TW 2017, Institute of Electrical and Electronics Engineers Inc., pp. 315-316, 4th IEEE International Conference on Consumer Electronics - Taiwan, ICCE-TW 2017, Taipei, United States, 12/06/17. https://doi.org/10.1109/ICCE-China.2017.7991122

A DPM based object detector using HOG-LBP features. / Cucliciu, Tanase; Lin, Chih Yang; Muchtar, Kahlil.
2017 IEEE International Conference on Consumer Electronics - Taiwan, ICCE-TW 2017. Institute of Electrical and Electronics Engineers Inc., 2017. p. 315-316 7991122 (2017 IEEE International Conference on Consumer Electronics - Taiwan, ICCE-TW 2017).

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

TY - GEN

T1 - A DPM based object detector using HOG-LBP features

AU - Cucliciu, Tanase

AU - Lin, Chih Yang

AU - Muchtar, Kahlil

PY - 2017/7/25

Y1 - 2017/7/25

N2 - In this paper, we combine Histogram of Oriented Gradients (HOG) and Local Binary Pattern (LBP) in order to detect the cranium and its components; namely, the brain, eyes and mouth. Furthermore, Deformable Part Model (DPM) algorithm is paired with the AdaBoost for training and classification. We use a CT/PET database acquired from the National Biomedical Imaging Archive (NBIA) in order to train and test our solution.

AB - In this paper, we combine Histogram of Oriented Gradients (HOG) and Local Binary Pattern (LBP) in order to detect the cranium and its components; namely, the brain, eyes and mouth. Furthermore, Deformable Part Model (DPM) algorithm is paired with the AdaBoost for training and classification. We use a CT/PET database acquired from the National Biomedical Imaging Archive (NBIA) in order to train and test our solution.

UR - http://www.scopus.com/inward/record.url?scp=85028513958&partnerID=8YFLogxK

U2 - 10.1109/ICCE-China.2017.7991122

DO - 10.1109/ICCE-China.2017.7991122

M3 - 會議論文篇章

AN - SCOPUS:85028513958

T3 - 2017 IEEE International Conference on Consumer Electronics - Taiwan, ICCE-TW 2017

SP - 315

EP - 316

BT - 2017 IEEE International Conference on Consumer Electronics - Taiwan, ICCE-TW 2017

PB - Institute of Electrical and Electronics Engineers Inc.

T2 - 4th IEEE International Conference on Consumer Electronics - Taiwan, ICCE-TW 2017

Y2 - 12 June 2017 through 14 June 2017

ER -

Cucliciu T, Lin CY, Muchtar K. A DPM based object detector using HOG-LBP features. In 2017 IEEE International Conference on Consumer Electronics - Taiwan, ICCE-TW 2017. Institute of Electrical and Electronics Engineers Inc. 2017. p. 315-316. 7991122. (2017 IEEE International Conference on Consumer Electronics - Taiwan, ICCE-TW 2017). doi: 10.1109/ICCE-China.2017.7991122

A DPM based object detector using HOG-LBP features

Abstract

Publication series

Conference

Access to Document

Fingerprint

Cite this