Real-time vision system for autonomous mobile robot

Masataka Doi; Manabu Nakakita; Yoshimitsu Aoki; Shuji Hashimoto

doi:10.1109/ROMAN.2001.981944

Real-time vision system for autonomous mobile robot

Masataka Doi, Manabu Nakakita, Yoshimitsu Aoki, Shuji Hashimoto

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

4 Citations (Scopus)

Abstract

In order to realize a vision system for an autonomous mobile robot used in a human living environment, it is necessary to observe human behaviors and to react to those actions. In this paper, we propose a real-time human tracking method based on vision system for an autonomous mobile robot. First, the system detects body parts as moving areas in the scene, and a face region or region specific to human is extracted in the detected area using color. Next, the facial gesture and head gesture are recognized. We implement the vision system on a mobile robot, and experimentally show the system can detect and track a human and his face in real-time.

Original language	English
Title of host publication	Proceedings - IEEE International Workshop on Robot and Human Interactive Communication
Pages	442-449
Number of pages	8
DOIs	https://doi.org/10.1109/ROMAN.2001.981944
Publication status	Published - 2001
Event	10th IEEE International Workshop on Robot and Human Interactive Communication, ROMAN 2001 - Bordeaux and Paris Duration: 2001 Sep 18 → 2001 Sep 21

Other

Other	10th IEEE International Workshop on Robot and Human Interactive Communication, ROMAN 2001
City	Bordeaux and Paris
Period	01/9/18 → 01/9/21

ASJC Scopus subject areas

Software
Artificial Intelligence
Human-Computer Interaction

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10.1109/ROMAN.2001.981944

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Doi, M, Nakakita, M, Aoki, Y & Hashimoto, S 2001, Real-time vision system for autonomous mobile robot. in Proceedings - IEEE International Workshop on Robot and Human Interactive Communication., 981944, pp. 442-449, 10th IEEE International Workshop on Robot and Human Interactive Communication, ROMAN 2001, Bordeaux and Paris, 01/9/18. https://doi.org/10.1109/ROMAN.2001.981944

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title = "Real-time vision system for autonomous mobile robot",

abstract = "In order to realize a vision system for an autonomous mobile robot used in a human living environment, it is necessary to observe human behaviors and to react to those actions. In this paper, we propose a real-time human tracking method based on vision system for an autonomous mobile robot. First, the system detects body parts as moving areas in the scene, and a face region or region specific to human is extracted in the detected area using color. Next, the facial gesture and head gesture are recognized. We implement the vision system on a mobile robot, and experimentally show the system can detect and track a human and his face in real-time.",

author = "Masataka Doi and Manabu Nakakita and Yoshimitsu Aoki and Shuji Hashimoto",

year = "2001",

doi = "10.1109/ROMAN.2001.981944",

language = "English",

isbn = "0780372220",

pages = "442--449",

booktitle = "Proceedings - IEEE International Workshop on Robot and Human Interactive Communication",

note = "10th IEEE International Workshop on Robot and Human Interactive Communication, ROMAN 2001 ; Conference date: 18-09-2001 Through 21-09-2001",

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AU - Doi, Masataka

AU - Nakakita, Manabu

AU - Aoki, Yoshimitsu

AU - Hashimoto, Shuji

PY - 2001

Y1 - 2001

N2 - In order to realize a vision system for an autonomous mobile robot used in a human living environment, it is necessary to observe human behaviors and to react to those actions. In this paper, we propose a real-time human tracking method based on vision system for an autonomous mobile robot. First, the system detects body parts as moving areas in the scene, and a face region or region specific to human is extracted in the detected area using color. Next, the facial gesture and head gesture are recognized. We implement the vision system on a mobile robot, and experimentally show the system can detect and track a human and his face in real-time.

AB - In order to realize a vision system for an autonomous mobile robot used in a human living environment, it is necessary to observe human behaviors and to react to those actions. In this paper, we propose a real-time human tracking method based on vision system for an autonomous mobile robot. First, the system detects body parts as moving areas in the scene, and a face region or region specific to human is extracted in the detected area using color. Next, the facial gesture and head gesture are recognized. We implement the vision system on a mobile robot, and experimentally show the system can detect and track a human and his face in real-time.

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DO - 10.1109/ROMAN.2001.981944

M3 - Conference contribution

AN - SCOPUS:84881090669

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SN - 9780780372221

SP - 442

EP - 449

BT - Proceedings - IEEE International Workshop on Robot and Human Interactive Communication

T2 - 10th IEEE International Workshop on Robot and Human Interactive Communication, ROMAN 2001

Y2 - 18 September 2001 through 21 September 2001

ER -

Real-time vision system for autonomous mobile robot

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