Duraǧan görüntülerden yaya tespi̇ti̇

Yusuf Engin Tetik; Bülent Bolat

doi:10.1109/SIU.2011.5929805

Duraǧan görüntülerden yaya tespi̇ti̇

Translated title of the contribution: Detection of pedestrians from still images

Yusuf Engin Tetik^*, Bülent Bolat

^*Corresponding author for this work

Yildiz Technical University

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

2 Citations (Scopus)

Abstract

In this work, a pedestrian detection system based on still images taken from monocular cameras is proposed. This framework aims to distinctively find each of the sub-objects that defines the main object, and then detects the complete main object by exploiting these sub-objects. In other words, this framework utilizes bottom-to-top approach. Modeling of the objects is realized by using approach of ratio-templates.

Translated title of the contribution	Detection of pedestrians from still images
Original language	Turkish
Title of host publication	2011 IEEE 19th Signal Processing and Communications Applications Conference, SIU 2011
Pages	670-673
Number of pages	4
DOIs	https://doi.org/10.1109/SIU.2011.5929805
Publication status	Published - 2011
Externally published	Yes
Event	2011 IEEE 19th Signal Processing and Communications Applications Conference, SIU 2011 - Antalya, Turkey Duration: 20 Apr 2011 → 22 Apr 2011

Publication series

Name	2011 IEEE 19th Signal Processing and Communications Applications Conference, SIU 2011

Conference

Conference	2011 IEEE 19th Signal Processing and Communications Applications Conference, SIU 2011
Country/Territory	Turkey
City	Antalya
Period	20/04/11 → 22/04/11

Access to Document

10.1109/SIU.2011.5929805

Cite this

@inproceedings{17319d3505b44234a92eca3a5f4fea39,

title = "Duraǧan g{\"o}r{\"u}nt{\"u}lerden yaya tesp{\.i}t{\.i}",

abstract = "In this work, a pedestrian detection system based on still images taken from monocular cameras is proposed. This framework aims to distinctively find each of the sub-objects that defines the main object, and then detects the complete main object by exploiting these sub-objects. In other words, this framework utilizes bottom-to-top approach. Modeling of the objects is realized by using approach of ratio-templates.",

author = "Tetik, {Yusuf Engin} and B{\"u}lent Bolat",

year = "2011",

doi = "10.1109/SIU.2011.5929805",

language = "T{\"u}rk{\c c}e",

isbn = "9781457704635",

series = "2011 IEEE 19th Signal Processing and Communications Applications Conference, SIU 2011",

pages = "670--673",

booktitle = "2011 IEEE 19th Signal Processing and Communications Applications Conference, SIU 2011",

note = "2011 IEEE 19th Signal Processing and Communications Applications Conference, SIU 2011 ; Conference date: 20-04-2011 Through 22-04-2011",

}

Tetik, YE & Bolat, B 2011, Duraǧan görüntülerden yaya tespi̇ti̇. in 2011 IEEE 19th Signal Processing and Communications Applications Conference, SIU 2011., 5929805, 2011 IEEE 19th Signal Processing and Communications Applications Conference, SIU 2011, pp. 670-673, 2011 IEEE 19th Signal Processing and Communications Applications Conference, SIU 2011, Antalya, Turkey, 20/04/11. https://doi.org/10.1109/SIU.2011.5929805

Duraǧan görüntülerden yaya tespi̇ti̇. / Tetik, Yusuf Engin; Bolat, Bülent.
2011 IEEE 19th Signal Processing and Communications Applications Conference, SIU 2011. 2011. p. 670-673 5929805 (2011 IEEE 19th Signal Processing and Communications Applications Conference, SIU 2011).

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

TY - GEN

T1 - Duraǧan görüntülerden yaya tespi̇ti̇

AU - Tetik, Yusuf Engin

AU - Bolat, Bülent

PY - 2011

Y1 - 2011

N2 - In this work, a pedestrian detection system based on still images taken from monocular cameras is proposed. This framework aims to distinctively find each of the sub-objects that defines the main object, and then detects the complete main object by exploiting these sub-objects. In other words, this framework utilizes bottom-to-top approach. Modeling of the objects is realized by using approach of ratio-templates.

AB - In this work, a pedestrian detection system based on still images taken from monocular cameras is proposed. This framework aims to distinctively find each of the sub-objects that defines the main object, and then detects the complete main object by exploiting these sub-objects. In other words, this framework utilizes bottom-to-top approach. Modeling of the objects is realized by using approach of ratio-templates.

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U2 - 10.1109/SIU.2011.5929805

DO - 10.1109/SIU.2011.5929805

M3 - Konferans katkısı

AN - SCOPUS:79960424455

SN - 9781457704635

T3 - 2011 IEEE 19th Signal Processing and Communications Applications Conference, SIU 2011

SP - 670

EP - 673

BT - 2011 IEEE 19th Signal Processing and Communications Applications Conference, SIU 2011

T2 - 2011 IEEE 19th Signal Processing and Communications Applications Conference, SIU 2011

Y2 - 20 April 2011 through 22 April 2011

ER -

Duraǧan görüntülerden yaya tespi̇ti̇

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