A Neural Network Based Technique for Staircase Detection using Smart Phone Images

被引：0
|
作者：
Ramteke, Anurag [1 ]
Parabattina, Bhagath [2 ]
Das, Pradip K. [1 ]
机构：
[1] ITT Guwahati, Dept CSE, Gauhati, Assam, India
[2] Lakireddy Bali Reddy Coll Engn, Dept CSE, Mylavaram, Andhra Pradesh, India
来源：
2021 SIXTH INTERNATIONAL CONFERENCE ON WIRELESS COMMUNICATIONS, SIGNAL PROCESSING AND NETWORKING (WISPNET) | 2021年
关键词：
Stair detection; RGB Image; Image Pixels; Horizontal Edge Detection; GPS Metadata; Neural Network;
D O I：
10.1109/WISPNET51692.2021.9419425
中图分类号：
TM [电工技术]; TN [电子技术、通信技术];
学科分类号：
0808 ; 0809 ;
摘要：
The problem of stair case detection is important for various applications that include accident avoidance for elderly people and visually impaired persons. This also has significance in autonomous robotic systems that requires a stairs detection module. The proposed system addresses the problem of stair case detection using handheld mobile devices. The algorithm works using images captured in a mobile phone. It uses both image and geo-spatial features. The performance of individual features in the context of stair detection is studied using a neural network based system. The obtained results with the proposed algorithm is explained in the paper.
引用
收藏
页码：374 / 379
页数：6
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