| Paper Abstract and Keywords |
| Presentation |
2022-09-22 16:20
Image Classification Using Neural Network for Feature Extractable CMOS Image Sensor
Kohei Yamamoto, Kota Yoshida, Shunsuke Okura (Ritsumei Univ) |
| Abstract |
(in Japanese) |
(See Japanese page) |
| (in English) |
CMOS image sensors are expected to be integrated with AI using deep learning for new technologies. Our research group has been studying feature-extractable pixels for an event-driven CMOS image sensor. In our previous work, it is found that object detection accuracy of people was low as around 17% in the object detection of feature images using a neural network trained with normal color images. In this work, we focus on the simple classification of feature images, and verified the classification accuracy of feature images with a neural network trained with feature images. Furthermore, to reduce redundant data contained in feature images to reduce the power consumption of the image recognition system, we verified the effect of bit depth of the feature image on the recognition accuracy. |
| Keyword |
(in Japanese) |
(See Japanese page) |
| (in English) |
CMOS / Feature Extraction / Neural Network / Histogram Equalization / Sigmoid Function / / / |
| Reference Info. |
ITE Tech. Rep., vol. 46, no. 29, IST2022-39, pp. 21-24, Sept. 2022. |
| Paper # |
IST2022-39 |
| Date of Issue |
2022-09-15 (IST) |
| ISSN |
Print edition: ISSN 1342-6893 Online edition: ISSN 2424-1970 |
| Download PDF |
|
| Conference Information |
| Committee |
IST |
| Conference Date |
2022-09-22 - 2022-09-22 |
| Place (in Japanese) |
(See Japanese page) |
| Place (in English) |
Kikai-Shinko-Kaikan Bldg. |
| Topics (in Japanese) |
(See Japanese page) |
| Topics (in English) |
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| Paper Information |
| Registration To |
IST |
| Conference Code |
2022-09-IST |
| Language |
Japanese |
| Title (in Japanese) |
(See Japanese page) |
| Sub Title (in Japanese) |
(See Japanese page) |
| Title (in English) |
Image Classification Using Neural Network for Feature Extractable CMOS Image Sensor |
| Sub Title (in English) |
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| Keyword(1) |
CMOS |
| Keyword(2) |
Feature Extraction |
| Keyword(3) |
Neural Network |
| Keyword(4) |
Histogram Equalization |
| Keyword(5) |
Sigmoid Function |
| Keyword(6) |
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| Keyword(7) |
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| Keyword(8) |
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| 1st Author's Name |
Kohei Yamamoto |
| 1st Author's Affiliation |
Ritsumeikan University (Ritsumei Univ) |
| 2nd Author's Name |
Kota Yoshida |
| 2nd Author's Affiliation |
Ritsumeikan University (Ritsumei Univ) |
| 3rd Author's Name |
Shunsuke Okura |
| 3rd Author's Affiliation |
Ritsumeikan University (Ritsumei Univ) |
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| Speaker |
Author-1 |
| Date Time |
2022-09-22 16:20:00 |
| Presentation Time |
30 minutes |
| Registration for |
IST |
| Paper # |
IST2022-39 |
| Volume (vol) |
vol.46 |
| Number (no) |
no.29 |
| Page |
pp.21-24 |
| #Pages |
4 |
| Date of Issue |
2022-09-15 (IST) |