| Paper Abstract and Keywords |
| Presentation |
2025-03-21 11:05
Lightweight Object Detection Model for a CMOS Image Sensor with Binary Feature Extraction
Keiichiro Kuroda, Yudai Morikaku, Yu Osuka, Ryoya Ieagaki, Kota Yoshida, Shunsuke Okura (Ritumeikan Univ) |
| Abstract |
(in Japanese) |
(See Japanese page) |
| (in English) |
For the coming of IoT age, we have proposed an object detection system using a CMOS image sensor with binary feature extraction to reduce the power consumption of recognition systems [1]. First, a lightweight deep neural network (DNN) for the feature data is verified based on YOLOv7. The presented model is comparable to the YOLOv7-tiny in the number of parameters and FLOPs, while improving the object recognition accuracy of large objects APL50 by 6.6%. Secondly, we present an on-chip signal processing technique for the CMOS image sensor to extract binary feature data. The simulation results demonstrate that the size of the 1-bit feature data is reduced by 96.0% at the cost of an 8.3% degradation in APL50 compared to the 1-bit RGB color image. |
| Keyword |
(in Japanese) |
(See Japanese page) |
| (in English) |
CMOS image sensor / feature extraction / object detection / data reduction / run-length encoding / / / |
| Reference Info. |
ITE Tech. Rep., vol. 49, no. 13, IST2025-11, pp. 7-8, March 2025. |
| Paper # |
IST2025-11 |
| Date of Issue |
2025-03-14 (IST) |
| ISSN |
Online edition: ISSN 2424-1970 |
| Download PDF |
|
| Conference Information |
| Committee |
IST |
| Conference Date |
2025-03-21 - 2025-03-21 |
| Place (in Japanese) |
(See Japanese page) |
| Place (in English) |
Kikai-Shinko-Kaikan Bldg. |
| Topics (in Japanese) |
(See Japanese page) |
| Topics (in English) |
|
| Paper Information |
| Registration To |
IST |
| Conference Code |
2025-03-IST |
| Language |
English |
| Title (in Japanese) |
(See Japanese page) |
| Sub Title (in Japanese) |
(See Japanese page) |
| Title (in English) |
Lightweight Object Detection Model for a CMOS Image Sensor with Binary Feature Extraction |
| Sub Title (in English) |
|
| Keyword(1) |
CMOS image sensor |
| Keyword(2) |
feature extraction |
| Keyword(3) |
object detection |
| Keyword(4) |
data reduction |
| Keyword(5) |
run-length encoding |
| Keyword(6) |
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| Keyword(7) |
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| 1st Author's Name |
Keiichiro Kuroda |
| 1st Author's Affiliation |
Ritumeikan University (Ritumeikan Univ) |
| 2nd Author's Name |
Yudai Morikaku |
| 2nd Author's Affiliation |
Ritumeikan University (Ritumeikan Univ) |
| 3rd Author's Name |
Yu Osuka |
| 3rd Author's Affiliation |
Ritumeikan University (Ritumeikan Univ) |
| 4th Author's Name |
Ryoya Ieagaki |
| 4th Author's Affiliation |
Ritumeikan University (Ritumeikan Univ) |
| 5th Author's Name |
Kota Yoshida |
| 5th Author's Affiliation |
Ritumeikan University (Ritumeikan Univ) |
| 6th Author's Name |
Shunsuke Okura |
| 6th Author's Affiliation |
Ritumeikan University (Ritumeikan Univ) |
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| Speaker |
Author-1 |
| Date Time |
2025-03-21 11:05:00 |
| Presentation Time |
20 minutes |
| Registration for |
IST |
| Paper # |
IST2025-11 |
| Volume (vol) |
vol.49 |
| Number (no) |
no.13 |
| Page |
pp.7-8 |
| #Pages |
2 |
| Date of Issue |
2025-03-14 (IST) |