Embedded system for real-time person detecting in infrared images/videos using super-resolution and Haar-like feature techniques

Gilberto Guadalupe Jara Ramos; Juan Carlos Sanchez Garcia; Volodymyr Ponomariov

doi:10.1109/ICEEE.2015.7357980

Embedded system for real-time person detecting in infrared images/videos using super-resolution and Haar-like feature techniques

Gilberto Guadalupe Jara Ramos, Juan Carlos Sanchez Garcia, Volodymyr Ponomariov

Escuela Superior de Ingeniería Mecánica y Eléctrica (ESIME), Unidad Culhuacán

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

4 Scopus citations

Abstract

This paper describes a real time person detection system using near infrared images/videos. This novel system integrates person detection and super resolution algorithms performing person recognition. Additionally, we use a detector Haar-like features and for increasing resolution we use classical algorithms like Nearest neighbor interpolation, Bilineal interpolation and bicubic interpolation. The detector is trained using Adataboost and cascade classifiers and the implementation is performed in the embeded system Raspberry pi2 with the Noir Pi Camera. The implemented embedded system runs at about 20 frames/second.

Original language	English
Title of host publication	2015 12th International Conference on Electrical Engineering, Computing Science and Automatic Control, CCE 2015
Publisher	Institute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)	9781467378390
DOIs	https://doi.org/10.1109/ICEEE.2015.7357980
State	Published - 14 Dec 2015
Event	12th International Conference on Electrical Engineering, Computing Science and Automatic Control, CCE 2015 - Mexico City, Mexico Duration: 26 Oct 2015 → 30 Oct 2015

Publication series

Name	2015 12th International Conference on Electrical Engineering, Computing Science and Automatic Control, CCE 2015

Conference

Conference	12th International Conference on Electrical Engineering, Computing Science and Automatic Control, CCE 2015
Country/Territory	Mexico
City	Mexico City
Period	26/10/15 → 30/10/15

Keywords

Haar-Like features
Raspberry pi2
Super Resolution
near infrared

Access to Document

10.1109/ICEEE.2015.7357980

Cite this

Ramos, G. G. J., Garcia, J. C. S., & Ponomariov, V. (2015). Embedded system for real-time person detecting in infrared images/videos using super-resolution and Haar-like feature techniques. In 2015 12th International Conference on Electrical Engineering, Computing Science and Automatic Control, CCE 2015 Article 7357980 (2015 12th International Conference on Electrical Engineering, Computing Science and Automatic Control, CCE 2015). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/ICEEE.2015.7357980

Ramos, Gilberto Guadalupe Jara ; Garcia, Juan Carlos Sanchez ; Ponomariov, Volodymyr. / Embedded system for real-time person detecting in infrared images/videos using super-resolution and Haar-like feature techniques. 2015 12th International Conference on Electrical Engineering, Computing Science and Automatic Control, CCE 2015. Institute of Electrical and Electronics Engineers Inc., 2015. (2015 12th International Conference on Electrical Engineering, Computing Science and Automatic Control, CCE 2015).

@inproceedings{411884f4aba84a66b3c0890b8e50adb1,

title = "Embedded system for real-time person detecting in infrared images/videos using super-resolution and Haar-like feature techniques",

abstract = "This paper describes a real time person detection system using near infrared images/videos. This novel system integrates person detection and super resolution algorithms performing person recognition. Additionally, we use a detector Haar-like features and for increasing resolution we use classical algorithms like Nearest neighbor interpolation, Bilineal interpolation and bicubic interpolation. The detector is trained using Adataboost and cascade classifiers and the implementation is performed in the embeded system Raspberry pi2 with the Noir Pi Camera. The implemented embedded system runs at about 20 frames/second.",

keywords = "Haar-Like features, Raspberry pi2, Super Resolution, near infrared",

author = "Ramos, {Gilberto Guadalupe Jara} and Garcia, {Juan Carlos Sanchez} and Volodymyr Ponomariov",

note = "Publisher Copyright: {\textcopyright} 2015 IEEE.; 12th International Conference on Electrical Engineering, Computing Science and Automatic Control, CCE 2015 ; Conference date: 26-10-2015 Through 30-10-2015",

year = "2015",

month = dec,

day = "14",

doi = "10.1109/ICEEE.2015.7357980",

language = "Ingl{\'e}s",

series = "2015 12th International Conference on Electrical Engineering, Computing Science and Automatic Control, CCE 2015",

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

booktitle = "2015 12th International Conference on Electrical Engineering, Computing Science and Automatic Control, CCE 2015",

address = "Estados Unidos",

}

Ramos, GGJ, Garcia, JCS & Ponomariov, V 2015, Embedded system for real-time person detecting in infrared images/videos using super-resolution and Haar-like feature techniques. in 2015 12th International Conference on Electrical Engineering, Computing Science and Automatic Control, CCE 2015., 7357980, 2015 12th International Conference on Electrical Engineering, Computing Science and Automatic Control, CCE 2015, Institute of Electrical and Electronics Engineers Inc., 12th International Conference on Electrical Engineering, Computing Science and Automatic Control, CCE 2015, Mexico City, Mexico, 26/10/15. https://doi.org/10.1109/ICEEE.2015.7357980

Embedded system for real-time person detecting in infrared images/videos using super-resolution and Haar-like feature techniques. / Ramos, Gilberto Guadalupe Jara; Garcia, Juan Carlos Sanchez; Ponomariov, Volodymyr.
2015 12th International Conference on Electrical Engineering, Computing Science and Automatic Control, CCE 2015. Institute of Electrical and Electronics Engineers Inc., 2015. 7357980 (2015 12th International Conference on Electrical Engineering, Computing Science and Automatic Control, CCE 2015).

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

TY - GEN

T1 - Embedded system for real-time person detecting in infrared images/videos using super-resolution and Haar-like feature techniques

AU - Ramos, Gilberto Guadalupe Jara

AU - Garcia, Juan Carlos Sanchez

AU - Ponomariov, Volodymyr

PY - 2015/12/14

Y1 - 2015/12/14

N2 - This paper describes a real time person detection system using near infrared images/videos. This novel system integrates person detection and super resolution algorithms performing person recognition. Additionally, we use a detector Haar-like features and for increasing resolution we use classical algorithms like Nearest neighbor interpolation, Bilineal interpolation and bicubic interpolation. The detector is trained using Adataboost and cascade classifiers and the implementation is performed in the embeded system Raspberry pi2 with the Noir Pi Camera. The implemented embedded system runs at about 20 frames/second.

AB - This paper describes a real time person detection system using near infrared images/videos. This novel system integrates person detection and super resolution algorithms performing person recognition. Additionally, we use a detector Haar-like features and for increasing resolution we use classical algorithms like Nearest neighbor interpolation, Bilineal interpolation and bicubic interpolation. The detector is trained using Adataboost and cascade classifiers and the implementation is performed in the embeded system Raspberry pi2 with the Noir Pi Camera. The implemented embedded system runs at about 20 frames/second.

KW - Haar-Like features

KW - Raspberry pi2

KW - Super Resolution

KW - near infrared

UR - http://www.scopus.com/inward/record.url?scp=84962815371&partnerID=8YFLogxK

U2 - 10.1109/ICEEE.2015.7357980

DO - 10.1109/ICEEE.2015.7357980

M3 - Contribución a la conferencia

AN - SCOPUS:84962815371

T3 - 2015 12th International Conference on Electrical Engineering, Computing Science and Automatic Control, CCE 2015

BT - 2015 12th International Conference on Electrical Engineering, Computing Science and Automatic Control, CCE 2015

PB - Institute of Electrical and Electronics Engineers Inc.

T2 - 12th International Conference on Electrical Engineering, Computing Science and Automatic Control, CCE 2015

Y2 - 26 October 2015 through 30 October 2015

ER -

Ramos GGJ, Garcia JCS, Ponomariov V. Embedded system for real-time person detecting in infrared images/videos using super-resolution and Haar-like feature techniques. In 2015 12th International Conference on Electrical Engineering, Computing Science and Automatic Control, CCE 2015. Institute of Electrical and Electronics Engineers Inc. 2015. 7357980. (2015 12th International Conference on Electrical Engineering, Computing Science and Automatic Control, CCE 2015). doi: 10.1109/ICEEE.2015.7357980

Embedded system for real-time person detecting in infrared images/videos using super-resolution and Haar-like feature techniques

Abstract

Publication series

Conference

Keywords

Access to Document

Other files and links

Fingerprint

Cite this