A multiclass classifier to detect pedestrians and acquire their moving styles

D. Chen; X. B. Cao; H. Qiao; F. Y. Wang

doi:10.1007/11760146_121

A multiclass classifier to detect pedestrians and acquire their moving styles

D. Chen
, X. B. Cao
, H. Qiao
, F. Y. Wang

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

1 Scopus citations

Abstract

In a pedestrian detection system, to discover the intention of a pedestrian and warn the driver, it is necessary to obtain the pedestrian's main moving style. In this paper, an efficient multiclass classifier is presented to detect pedestrians and classify their moving style simultaneously. The multiclass classifier composes of three two-class classifiers and each of them is trained with a SVM algorithm. Experiments based on a single camera pedestrian detection system show that the multiclass classifier has an acceptable detection rate; at the same time, it can judge whether a pedestrian is walking along the road or across the road.

Original language	English
Title of host publication	Intelligence and Security Informatics - IEEE International Conference on Intelligence and Security Informatics, ISI 2006, Proceedings
Publisher	Springer Verlag
Pages	758-759
Number of pages	2
ISBN (Print)	3540344780, 9783540344780
DOIs	https://doi.org/10.1007/11760146_121
State	Published - 2006
Externally published	Yes
Event	IEEE International Conference on Intelligence and Security Informatics, ISI 2006 - San Diego, CA, United States Duration: 23 May 2006 → 24 May 2006

Publication series

Name	Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume	3975 LNCS
ISSN (Print)	0302-9743
ISSN (Electronic)	1611-3349

Conference

Conference	IEEE International Conference on Intelligence and Security Informatics, ISI 2006
Country/Territory	United States
City	San Diego, CA
Period	23/05/06 → 24/05/06

Access to Document

10.1007/11760146_121

Cite this

Chen, D., Cao, X. B., Qiao, H., & Wang, F. Y. (2006). A multiclass classifier to detect pedestrians and acquire their moving styles. In Intelligence and Security Informatics - IEEE International Conference on Intelligence and Security Informatics, ISI 2006, Proceedings (pp. 758-759). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 3975 LNCS). Springer Verlag. https://doi.org/10.1007/11760146_121

Chen, D. ; Cao, X. B. ; Qiao, H. et al. / A multiclass classifier to detect pedestrians and acquire their moving styles. Intelligence and Security Informatics - IEEE International Conference on Intelligence and Security Informatics, ISI 2006, Proceedings. Springer Verlag, 2006. pp. 758-759 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)).

@inproceedings{888d81f49aa44cbcadf4e03b4cd2aa31,

title = "A multiclass classifier to detect pedestrians and acquire their moving styles",

abstract = "In a pedestrian detection system, to discover the intention of a pedestrian and warn the driver, it is necessary to obtain the pedestrian's main moving style. In this paper, an efficient multiclass classifier is presented to detect pedestrians and classify their moving style simultaneously. The multiclass classifier composes of three two-class classifiers and each of them is trained with a SVM algorithm. Experiments based on a single camera pedestrian detection system show that the multiclass classifier has an acceptable detection rate; at the same time, it can judge whether a pedestrian is walking along the road or across the road.",

author = "D. Chen and Cao, \{X. B.\} and H. Qiao and Wang, \{F. Y.\}",

year = "2006",

doi = "10.1007/11760146\_121",

language = "英语",

isbn = "3540344780",

series = "Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)",

publisher = "Springer Verlag",

pages = "758--759",

booktitle = "Intelligence and Security Informatics - IEEE International Conference on Intelligence and Security Informatics, ISI 2006, Proceedings",

note = "IEEE International Conference on Intelligence and Security Informatics, ISI 2006 ; Conference date: 23-05-2006 Through 24-05-2006",

}

Chen, D, Cao, XB, Qiao, H & Wang, FY 2006, A multiclass classifier to detect pedestrians and acquire their moving styles. in Intelligence and Security Informatics - IEEE International Conference on Intelligence and Security Informatics, ISI 2006, Proceedings. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), vol. 3975 LNCS, Springer Verlag, pp. 758-759, IEEE International Conference on Intelligence and Security Informatics, ISI 2006, San Diego, CA, United States, 23/05/06. https://doi.org/10.1007/11760146_121

A multiclass classifier to detect pedestrians and acquire their moving styles. / Chen, D.; Cao, X. B.; Qiao, H. et al.
Intelligence and Security Informatics - IEEE International Conference on Intelligence and Security Informatics, ISI 2006, Proceedings. Springer Verlag, 2006. p. 758-759 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 3975 LNCS).

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

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N2 - In a pedestrian detection system, to discover the intention of a pedestrian and warn the driver, it is necessary to obtain the pedestrian's main moving style. In this paper, an efficient multiclass classifier is presented to detect pedestrians and classify their moving style simultaneously. The multiclass classifier composes of three two-class classifiers and each of them is trained with a SVM algorithm. Experiments based on a single camera pedestrian detection system show that the multiclass classifier has an acceptable detection rate; at the same time, it can judge whether a pedestrian is walking along the road or across the road.

AB - In a pedestrian detection system, to discover the intention of a pedestrian and warn the driver, it is necessary to obtain the pedestrian's main moving style. In this paper, an efficient multiclass classifier is presented to detect pedestrians and classify their moving style simultaneously. The multiclass classifier composes of three two-class classifiers and each of them is trained with a SVM algorithm. Experiments based on a single camera pedestrian detection system show that the multiclass classifier has an acceptable detection rate; at the same time, it can judge whether a pedestrian is walking along the road or across the road.

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DO - 10.1007/11760146_121

M3 - 会议稿件

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SN - 3540344780

SN - 9783540344780

T3 - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

SP - 758

EP - 759

BT - Intelligence and Security Informatics - IEEE International Conference on Intelligence and Security Informatics, ISI 2006, Proceedings

PB - Springer Verlag

T2 - IEEE International Conference on Intelligence and Security Informatics, ISI 2006

Y2 - 23 May 2006 through 24 May 2006

ER -

Chen D, Cao XB, Qiao H, Wang FY. A multiclass classifier to detect pedestrians and acquire their moving styles. In Intelligence and Security Informatics - IEEE International Conference on Intelligence and Security Informatics, ISI 2006, Proceedings. Springer Verlag. 2006. p. 758-759. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)). doi: 10.1007/11760146_121

A multiclass classifier to detect pedestrians and acquire their moving styles

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