Indoor place recognition and localization using histogram of oriented gradient with deep learning
Joint Authors
Ali, Abbas M.
Potrus, Muayyad Y.
Jalal, Zaynah Khalil
Source
ZANCO Journal of Pure and Applied Sciences
Issue
Vol. 32, Issue 1 (29 Feb. 2020), pp.19-30, 12 p.
Publisher
Salahaddin University-Erbil Department of Scientific Publications
Publication Date
2020-02-29
Country of Publication
Iraq
No. of Pages
12
Main Subjects
Information Technology and Computer Science
Abstract EN
Indoor place recognition is a crucial and challenging field of computer science.
It is widely used in robotics and computer vision for various applications.
The challenges in indoor place recognition comes from the fact that recognizing localized places like office, corridor, and others may fall under various environmental effects of weather, illumination and others.
In this paper, an indoor place recognition and localization system is proposed.
The system utilizes the great recognition capabilities of Convolutional Neural Network (CNN) and AlexNet with the use of feature image for training.
The feature images are constructed using Histogram of Gradient (HOG).
The main contribution of this work is the use of 2D feature constructed image from HOG instead of the scene image used with CNN.
The proposed system was compared to other previous systems, in which, it achieved better recognition accuracy when tested on COLD and IDOL standard indoor image datasets.
American Psychological Association (APA)
Jalal, Zaynah Khalil& Potrus, Muayyad Y.& Ali, Abbas M.. 2020. Indoor place recognition and localization using histogram of oriented gradient with deep learning. ZANCO Journal of Pure and Applied Sciences،Vol. 32, no. 1, pp.19-30.
https://search.emarefa.net/detail/BIM-1389355
Modern Language Association (MLA)
Jalal, Zaynah Khalil…[et al.]. Indoor place recognition and localization using histogram of oriented gradient with deep learning. ZANCO Journal of Pure and Applied Sciences Vol. 32, no. 1 (2020), pp.19-30.
https://search.emarefa.net/detail/BIM-1389355
American Medical Association (AMA)
Jalal, Zaynah Khalil& Potrus, Muayyad Y.& Ali, Abbas M.. Indoor place recognition and localization using histogram of oriented gradient with deep learning. ZANCO Journal of Pure and Applied Sciences. 2020. Vol. 32, no. 1, pp.19-30.
https://search.emarefa.net/detail/BIM-1389355
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references : p. 29-30
Record ID
BIM-1389355