A high-level image sequence fusion algorithm for human detection

Meng Wang; Yaping Dai; Yan Liu

A high-level image sequence fusion algorithm for human detection

Meng Wang, Yaping Dai^*, Yan Liu

^*Corresponding author for this work

School of Automation

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

4 Citations (Scopus)

Abstract

For detecting a human from background more clearly, we try to fuse two video image sequences captured from visible and thermal sensors respectively into one by a high-level image sequence fusion (HISF) algorithm. The HISF algorithm combined the Histogram of Oriented Gradient (HOG) descriptor and linear Support Vector Machine (SVM) aiming at high quality of human detection. Comparing with several multi-resolution image fusion algorithms, it is shown by the Detection Error Tradeoff (DET) curves that the proposed algorithm increases system robust performance and achieves an excellent classification rate.

Original language	English
Title of host publication	Proceedings of the 29th Chinese Control Conference, CCC'10
Pages	2755-2759
Number of pages	5
Publication status	Published - 2010
Event	29th Chinese Control Conference, CCC'10 - Beijing, China Duration: 29 Jul 2010 → 31 Jul 2010

Publication series

Name	Proceedings of the 29th Chinese Control Conference, CCC'10

Conference

Conference	29th Chinese Control Conference, CCC'10
Country/Territory	China
City	Beijing
Period	29/07/10 → 31/07/10

Keywords

Histogram of oriented gradient (HOG)
Image sequence fusion
Object detection
SVM

Cite this

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title = "A high-level image sequence fusion algorithm for human detection",

abstract = "For detecting a human from background more clearly, we try to fuse two video image sequences captured from visible and thermal sensors respectively into one by a high-level image sequence fusion (HISF) algorithm. The HISF algorithm combined the Histogram of Oriented Gradient (HOG) descriptor and linear Support Vector Machine (SVM) aiming at high quality of human detection. Comparing with several multi-resolution image fusion algorithms, it is shown by the Detection Error Tradeoff (DET) curves that the proposed algorithm increases system robust performance and achieves an excellent classification rate.",

keywords = "Histogram of oriented gradient (HOG), Image sequence fusion, Object detection, SVM",

author = "Meng Wang and Yaping Dai and Yan Liu",

year = "2010",

language = "English",

isbn = "9787894631046",

series = "Proceedings of the 29th Chinese Control Conference, CCC'10",

pages = "2755--2759",

booktitle = "Proceedings of the 29th Chinese Control Conference, CCC'10",

note = "29th Chinese Control Conference, CCC'10 ; Conference date: 29-07-2010 Through 31-07-2010",

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TY - GEN

T1 - A high-level image sequence fusion algorithm for human detection

AU - Wang, Meng

AU - Dai, Yaping

AU - Liu, Yan

PY - 2010

Y1 - 2010

N2 - For detecting a human from background more clearly, we try to fuse two video image sequences captured from visible and thermal sensors respectively into one by a high-level image sequence fusion (HISF) algorithm. The HISF algorithm combined the Histogram of Oriented Gradient (HOG) descriptor and linear Support Vector Machine (SVM) aiming at high quality of human detection. Comparing with several multi-resolution image fusion algorithms, it is shown by the Detection Error Tradeoff (DET) curves that the proposed algorithm increases system robust performance and achieves an excellent classification rate.

AB - For detecting a human from background more clearly, we try to fuse two video image sequences captured from visible and thermal sensors respectively into one by a high-level image sequence fusion (HISF) algorithm. The HISF algorithm combined the Histogram of Oriented Gradient (HOG) descriptor and linear Support Vector Machine (SVM) aiming at high quality of human detection. Comparing with several multi-resolution image fusion algorithms, it is shown by the Detection Error Tradeoff (DET) curves that the proposed algorithm increases system robust performance and achieves an excellent classification rate.

KW - Histogram of oriented gradient (HOG)

KW - Image sequence fusion

KW - Object detection

KW - SVM

UR - http://www.scopus.com/inward/record.url?scp=78650239844&partnerID=8YFLogxK

M3 - Conference contribution

AN - SCOPUS:78650239844

SN - 9787894631046

T3 - Proceedings of the 29th Chinese Control Conference, CCC'10

SP - 2755

EP - 2759

BT - Proceedings of the 29th Chinese Control Conference, CCC'10

T2 - 29th Chinese Control Conference, CCC'10

Y2 - 29 July 2010 through 31 July 2010

ER -

A high-level image sequence fusion algorithm for human detection

Abstract

Publication series

Conference

Keywords

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