Efficient Object Detection Algorithm in Kitchen Appliance Scene Images Based on Deep Learning
Joint Authors
Source
Mathematical Problems in Engineering
Issue
Vol. 2020, Issue 2020 (31 Dec. 2020), pp.1-12, 12 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2020-12-17
Country of Publication
Egypt
No. of Pages
12
Main Subjects
Abstract EN
The accuracy of object detection based on kitchen appliance scene images can suffer severely from external disturbances such as various levels of specular reflection, uneven lighting, and spurious lighting, as well as internal scene-related disturbances such as invalid edges and pattern information unrelated to the object of interest.
The present study addresses these unique challenges by proposing an object detection method based on improved faster R-CNN algorithm.
The improved method can identify object regions scattered in various areas of complex appliance scenes quickly and automatically.
In this paper, we put forward a feature enhancement framework, named deeper region proposal network (D-RPN).
In D-RPN, a feature enhancement module is designed to more effectively extract feature information of an object on kitchen appliance scene.
Then, we reconstruct a U-shaped network structure using a series of feature enhancement modules.
We have evaluated the proposed D-RPN on the dataset we created.
It includes all kinds of kitchen appliance control panels captured in nature scene by image collector.
In our experiments, the best-performing object detection method obtained a mean average precision mAP value of 89.84% in the testing dataset.
The test results show that the proposed improved algorithm achieves higher detecting accuracy than state-of-the-art object detection methods.
Finally, our proposed detection method can further be used in text recognition.
American Psychological Association (APA)
Lu, Manhuai& Chen, Liqin. 2020. Efficient Object Detection Algorithm in Kitchen Appliance Scene Images Based on Deep Learning. Mathematical Problems in Engineering،Vol. 2020, no. 2020, pp.1-12.
https://search.emarefa.net/detail/BIM-1197022
Modern Language Association (MLA)
Lu, Manhuai& Chen, Liqin. Efficient Object Detection Algorithm in Kitchen Appliance Scene Images Based on Deep Learning. Mathematical Problems in Engineering No. 2020 (2020), pp.1-12.
https://search.emarefa.net/detail/BIM-1197022
American Medical Association (AMA)
Lu, Manhuai& Chen, Liqin. Efficient Object Detection Algorithm in Kitchen Appliance Scene Images Based on Deep Learning. Mathematical Problems in Engineering. 2020. Vol. 2020, no. 2020, pp.1-12.
https://search.emarefa.net/detail/BIM-1197022
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1197022