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Title |
Intelligent Scene Recognition and understanding Basing on Deep Learning Models and Image Databases |
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Author |
Fawaz Albalawi, Yousef Alanazi, Hamad Alyami, Wassim Messoudi, and Tareq Alhmiedat |
| Citation |
Vol. 22 No. 6 pp. 479-484 |
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Abstract |
Nowadays, artificial intelligence is currently used in several areas, including industrial, business, and robotics. This research focuses within this context, especially on the intelligent scene recognition, which is considered as challenging task that can provides mobile robots with a higher semantic awareness of their surroundings. In this paper, we present an overview of an intelligent scene recognition process based on several deep learning models in- cluding ResNet50, VGGNet, DenseNet, etc. These models require a training phase based on image databases. In our study, we use existing image databases describing indoor environment such as Places, Scene15, MIT Indoor67, ImageNet, etc. The goal of our research is to determine the suitable image- database and deep learning model for building the scene recog- nition system of indoor environment. |
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Keywords |
Scene recognition; scene understanding; machine learning; Deep learning; Intelligent image understanding |
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