GPU acceleration design method for driver's seatbelt detection
文献类型：会议论文
| 作者 | Jing, Yongquan1; Wu TS(吴天舒)1,2; Li, Jin3; Zhang ZJ(张志佳)1; Gao, Chao3 |
| 出版日期 | 2019 |
| 会议日期 | November 1-3, 2019 |
| 会议地点 | Changsha, China |
| 关键词 | GPU acceleration seatbelt detection SSD YOLO1 |
| 页码 | 949-953 |
| 英文摘要 | With the development and maturity of deep learning algorithms, CNN have emerged in the field of computer vision. Image recognition is one of the important research directions in the field of computer vision. The traditional image recognition method is to extract features by constructing feature descriptors and then classify them by classifiers, such as gradient direction histogram and support vector machine. These methods generally have the problems of poor robustness and insufficient ability to extract features in complex application scenarios. At the same time, convolutional neural network has not been well applied in image recognition due to its large amount of computation and slow speed. With the development of GPU, the parallel computing capability has been greatly improved. This paper designs a GPU acceleration method for the driver's seatbelt detection system based on CNN. The system is based on the Deconv-SSD target detection algorithm for vehicle detection, the Squeeze-YOLO algorithm for vehicle front windshield location, and the semantic segmentation for seat belt detection. Based on the characteristics of GPU, through the off-line merging bath normlization and convolution layer, Tensorrt model conversion technology to realize the GPU optimization speed. The results show that the proposed acceleration method can effectively improve the detection efficiency. © 2019 IEEE. |
| 产权排序 | 2 |
| 会议录 | 2019 14th IEEE International Conference on Electronic Measurement and Instruments, ICEMI 2019
 |
| 会议录出版者 | IEEE |
| 会议录出版地 | New York |
| 语种 | 英语 |
| ISBN号 | 978-1-7281-0509-3 |
| WOS记录号 | WOS:000584334300138 |
| 源URL | [http://ir.sia.cn/handle/173321/27105]  |
| 专题 | 沈阳自动化研究所_光电信息技术研究室 |
| 通讯作者 | Jing, Yongquan |
| 作者单位 | 1.Shenyang University of Technology, School of Information Science and Engineering, Shenyang, China 2.Opto-Electronic Information Technology Department, Shenyang Institute of Automation, Chinese Academy of Sciences, Shenyang, China 3.Technology Development Department Liaoning Aerospace Linghe Automobile Co., Ltd., Shenyang, China |
| 推荐引用方式 GB/T 7714 | Jing, Yongquan,Wu TS,Li, Jin,et al. GPU acceleration design method for driver's seatbelt detection[C]. 见:. Changsha, China. November 1-3, 2019. |
入库方式： OAI收割
来源：沈阳自动化研究所
浏览0
下载0
收藏0
其他版本
除非特别说明，本系统中所有内容都受版权保护，并保留所有权利。