ISL person identification systems in the CLEAR 2007 evaluations

Hazim Kemal Ekenel; Qin Jin; Mika Fischer; Rainer Stiefelhagen

doi:10.1007/978-3-540-68585-2_24

ISL person identification systems in the CLEAR 2007 evaluations

Hazim Kemal Ekenel, Qin Jin, Mika Fischer, Rainer Stiefelhagen

Computer Engineering

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

Abstract

In this paper, we present ISL person identification systems in the CLEAR 2007 evaluations.The identification systems consist of a face recognition system, a speaker identification system and a multi-modal identification system that combines the individual systems. The experimental results show that the face recognition system outperforms the speaker identification system significantly on the short duration test segments. They perform equally well on the longer duration test segments. Combination of the individual systems improves the performance further.

Original language	English (US)
Pages (from-to)	256-265
Number of pages	10
Journal	Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume	4625 LNCS
DOIs	https://doi.org/10.1007/978-3-540-68585-2_24
State	Published - 2008
Event	2nd Annual Classifcation of Events Activities and Relationships, CLEAR 2007 and Rich Transcription, RT 2007 - Baltimore, MD, United States Duration: May 8 2007 → May 11 2007

Keywords

Face recognition
Multimodal person identification
Person identification in smart rooms
Speaker identification

ASJC Scopus subject areas

Theoretical Computer Science
General Computer Science

Access to Document

10.1007/978-3-540-68585-2_24

Cite this

@article{0a17300482364214b0609937c8df72b1,

title = "ISL person identification systems in the CLEAR 2007 evaluations",

abstract = "In this paper, we present ISL person identification systems in the CLEAR 2007 evaluations.The identification systems consist of a face recognition system, a speaker identification system and a multi-modal identification system that combines the individual systems. The experimental results show that the face recognition system outperforms the speaker identification system significantly on the short duration test segments. They perform equally well on the longer duration test segments. Combination of the individual systems improves the performance further.",

keywords = "Face recognition, Multimodal person identification, Person identification in smart rooms, Speaker identification",

author = "Ekenel, {Hazim Kemal} and Qin Jin and Mika Fischer and Rainer Stiefelhagen",

year = "2008",

doi = "10.1007/978-3-540-68585-2_24",

language = "English (US)",

volume = "4625 LNCS",

pages = "256--265",

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

issn = "0302-9743",

publisher = "Springer Verlag",

note = "2nd Annual Classifcation of Events Activities and Relationships, CLEAR 2007 and Rich Transcription, RT 2007 ; Conference date: 08-05-2007 Through 11-05-2007",

}

TY - JOUR

T1 - ISL person identification systems in the CLEAR 2007 evaluations

AU - Ekenel, Hazim Kemal

AU - Jin, Qin

AU - Fischer, Mika

AU - Stiefelhagen, Rainer

PY - 2008

Y1 - 2008

N2 - In this paper, we present ISL person identification systems in the CLEAR 2007 evaluations.The identification systems consist of a face recognition system, a speaker identification system and a multi-modal identification system that combines the individual systems. The experimental results show that the face recognition system outperforms the speaker identification system significantly on the short duration test segments. They perform equally well on the longer duration test segments. Combination of the individual systems improves the performance further.

AB - In this paper, we present ISL person identification systems in the CLEAR 2007 evaluations.The identification systems consist of a face recognition system, a speaker identification system and a multi-modal identification system that combines the individual systems. The experimental results show that the face recognition system outperforms the speaker identification system significantly on the short duration test segments. They perform equally well on the longer duration test segments. Combination of the individual systems improves the performance further.

KW - Face recognition

KW - Multimodal person identification

KW - Person identification in smart rooms

KW - Speaker identification

UR - http://www.scopus.com/inward/record.url?scp=47749137771&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=47749137771&partnerID=8YFLogxK

U2 - 10.1007/978-3-540-68585-2_24

DO - 10.1007/978-3-540-68585-2_24

M3 - Conference article

AN - SCOPUS:47749137771

SN - 0302-9743

VL - 4625 LNCS

SP - 256

EP - 265

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

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

T2 - 2nd Annual Classifcation of Events Activities and Relationships, CLEAR 2007 and Rich Transcription, RT 2007

Y2 - 8 May 2007 through 11 May 2007

ER -

ISL person identification systems in the CLEAR 2007 evaluations

Abstract

Keywords

ASJC Scopus subject areas

Access to Document

Other files and links

Fingerprint

Cite this