loading
Documents

Research.Publish.Connect.

Paper

Paper Unlock

Authors: Jihye Hwang 1 ; Younggwang Ji 2 ; Nojun Kwak 1 and Eun Yi Kim 2

Affiliations: 1 Seoul National University, Korea, Republic of ; 2 Konkuk University, Korea, Republic of

ISBN: 978-989-758-173-1

Keyword(s): Guidance System, Mobile Phone User, Outdoor Context Awareness, Support Vector Machine, Multi-scale Classification.

Related Ontology Subjects/Areas/Topics: Applications ; Classification ; Computer Vision, Visualization and Computer Graphics ; Feature Selection and Extraction ; Image Understanding ; Pattern Recognition ; Theory and Methods

Abstract: Research in social science has shown that the mobile phone users pay less attention to their surroundings, which exposes them to various hazards such as collisions with vehicles than other pedestrians. In this paper, we propose a novel handheld device that assists mobile phone users to walk more safely outdoors. The proposed system is implemented on a smart phone and uses its back camera to detect the current outdoor context, e.g. traffic intersections, roadways, and sidewalks, finally alerts the user of unsafe situations using sound and vibration from the phone. The outdoor context awareness is performed by three steps: preprocessing, feature extraction, and context recognition. First, it improves the image contrast while removing image noise, and then it extracts the color and texture descriptors from each pixel. Next, each pixel is classified as an intersection, sidewalk, or roadway using a support vector machine-based classifier. Then, to support the real-time performance on the s mart phone, a multi-scale classification is applied to input image, where the coarse layer first discriminates the boundary pixels from the background and the fine layer categorizes the boundary pixels as sidewalk, roadway, or intersection. In order to demonstrate the effectiveness of the proposed method, some real-world experiments were performed, then the results showed that the proposed system has the accuracy of above 98% at the various environments. (More)

PDF ImageFull Text

Download
Sign In Guest: Register as new SciTePress user now for free.

Sign In SciTePress user: please login.

PDF ImageMy Papers

You are not signed in, therefore limits apply to your IP address 35.153.73.72

In the current month:
Recent papers: 100 available of 100 total
2+ years older papers: 200 available of 200 total

Paper citation in several formats:
Hwang, J.; Ji, Y.; Kwak, N. and Kim, E. (2016). Outdoor Context Awareness Device That Enables Mobile Phone Users to Walk Safely through Urban Intersections.In Proceedings of the 5th International Conference on Pattern Recognition Applications and Methods - Volume 1: ICPRAM, ISBN 978-989-758-173-1, pages 526-533. DOI: 10.5220/0005664705260533

@conference{icpram16,
author={Jihye Hwang. and Younggwang Ji. and Nojun Kwak. and Eun Yi Kim.},
title={Outdoor Context Awareness Device That Enables Mobile Phone Users to Walk Safely through Urban Intersections},
booktitle={Proceedings of the 5th International Conference on Pattern Recognition Applications and Methods - Volume 1: ICPRAM,},
year={2016},
pages={526-533},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0005664705260533},
isbn={978-989-758-173-1},
}

TY - CONF

JO - Proceedings of the 5th International Conference on Pattern Recognition Applications and Methods - Volume 1: ICPRAM,
TI - Outdoor Context Awareness Device That Enables Mobile Phone Users to Walk Safely through Urban Intersections
SN - 978-989-758-173-1
AU - Hwang, J.
AU - Ji, Y.
AU - Kwak, N.
AU - Kim, E.
PY - 2016
SP - 526
EP - 533
DO - 10.5220/0005664705260533

Login or register to post comments.

Comments on this Paper: Be the first to review this paper.