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

Access to Document

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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year = "2001",

doi = "10.1109/ROMAN.2001.981944",

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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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