A human tracking mobile-robot with face detection

Satoru Suzuki; Yasue Mitsukura; Hironori Takimoto; Takanari Tanabata; Nobutaka Kimura; Toshio Moriya

doi:10.1109/IECON.2009.5415074

A human tracking mobile-robot with face detection

Satoru Suzuki, Yasue Mitsukura, Hironori Takimoto, Takanari Tanabata, Nobutaka Kimura, Toshio Moriya

Research output: Contribution to conference › Paper › peer-review

17 Citations (Scopus)

Abstract

In this paper, we propose the face detection method for tracking a human by a mobile-robot. We obtain images from a web camera, and detect faces by focusing on skin colors and eyes as facial features. If we detect faces from images, we trace the detected human, take a picture of him/her, and print it automatically by using the mobile-robot. In order to show the effectiveness of the proposed method, we show the experimental results. Firstly, in the face detection, we show the face detection accuracy. Then, in the human tracking with mobile-robot by using face detection, we show the tracking performance.

Original language	English
Pages	4217-4222
Number of pages	6
DOIs	https://doi.org/10.1109/IECON.2009.5415074
Publication status	Published - 2009 Dec 1
Externally published	Yes
Event	35th Annual Conference of the IEEE Industrial Electronics Society, IECON 2009 - Porto, Portugal Duration: 2009 Nov 3 → 2009 Nov 5

Other

Other	35th Annual Conference of the IEEE Industrial Electronics Society, IECON 2009
Country	Portugal
City	Porto
Period	09/11/3 → 09/11/5

ASJC Scopus subject areas

Control and Systems Engineering
Electrical and Electronic Engineering

Access to Document

10.1109/IECON.2009.5415074

Fingerprint Dive into the research topics of 'A human tracking mobile-robot with face detection'. Together they form a unique fingerprint.

Cite this

@conference{132226d6232348e8b43574f9687de6e2,

title = "A human tracking mobile-robot with face detection",

abstract = "In this paper, we propose the face detection method for tracking a human by a mobile-robot. We obtain images from a web camera, and detect faces by focusing on skin colors and eyes as facial features. If we detect faces from images, we trace the detected human, take a picture of him/her, and print it automatically by using the mobile-robot. In order to show the effectiveness of the proposed method, we show the experimental results. Firstly, in the face detection, we show the face detection accuracy. Then, in the human tracking with mobile-robot by using face detection, we show the tracking performance.",

author = "Satoru Suzuki and Yasue Mitsukura and Hironori Takimoto and Takanari Tanabata and Nobutaka Kimura and Toshio Moriya",

year = "2009",

month = dec,

day = "1",

doi = "10.1109/IECON.2009.5415074",

language = "English",

pages = "4217--4222",

note = "35th Annual Conference of the IEEE Industrial Electronics Society, IECON 2009 ; Conference date: 03-11-2009 Through 05-11-2009",

}

TY - CONF

T1 - A human tracking mobile-robot with face detection

AU - Suzuki, Satoru

AU - Mitsukura, Yasue

AU - Takimoto, Hironori

AU - Tanabata, Takanari

AU - Kimura, Nobutaka

AU - Moriya, Toshio

PY - 2009/12/1

Y1 - 2009/12/1

N2 - In this paper, we propose the face detection method for tracking a human by a mobile-robot. We obtain images from a web camera, and detect faces by focusing on skin colors and eyes as facial features. If we detect faces from images, we trace the detected human, take a picture of him/her, and print it automatically by using the mobile-robot. In order to show the effectiveness of the proposed method, we show the experimental results. Firstly, in the face detection, we show the face detection accuracy. Then, in the human tracking with mobile-robot by using face detection, we show the tracking performance.

AB - In this paper, we propose the face detection method for tracking a human by a mobile-robot. We obtain images from a web camera, and detect faces by focusing on skin colors and eyes as facial features. If we detect faces from images, we trace the detected human, take a picture of him/her, and print it automatically by using the mobile-robot. In order to show the effectiveness of the proposed method, we show the experimental results. Firstly, in the face detection, we show the face detection accuracy. Then, in the human tracking with mobile-robot by using face detection, we show the tracking performance.

UR - http://www.scopus.com/inward/record.url?scp=77951614445&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=77951614445&partnerID=8YFLogxK

U2 - 10.1109/IECON.2009.5415074

DO - 10.1109/IECON.2009.5415074

M3 - Paper

AN - SCOPUS:77951614445

SP - 4217

EP - 4222

T2 - 35th Annual Conference of the IEEE Industrial Electronics Society, IECON 2009

Y2 - 3 November 2009 through 5 November 2009

ER -