A Hardware-Oriented Algorithm for Ultra-High-Speed Object Detection
文献类型：期刊论文
| 作者 | Li, Jianquan1,2 ; Liu, Xilong1,2; Liu, Fangfang1,2; Xu, De1,2; Gu, Qingyi1,2; Ishii, Idaku3
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| 刊名 | IEEE SENSORS JOURNAL
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| 出版日期 | 2019-05-15 |
| 卷号 | 19期号:10页码:3818-3831 |
| 关键词 | Hardware implementation high-frame-rate vision field-programmable gate array multi-object detection histograms of oriented gradient support vector machine |
| ISSN号 | 1530-437X |
| DOI | 10.1109/JSEN.2019.2895294 |
| 通讯作者 | Gu, Qingyi(qingyi.gu@ia.ac.cn) |
| 英文摘要 | This paper describes a novel hardware-oriented algorithm that can be implemented on a field-programmable gate array in a high-speed vision platform for detection of multiple objects with clear texture information in images of 512 x 512 pixels at 10000 frames per second (fps) under complex background. The proposed algorithm is specially designed for devices with limited hardware resource for high-frame-rate, high-data-throughput, and high-parallelism processing of video streams with low latency. The proposed algorithm is based on the conventional histograms of oriented gradient (HOC) descriptor and support vector machine classifier algorithms. Considering the trade-off between speed and accuracy, many hardware-based optimization operations were implemented. The data throughput is nearly 29.30 Gbps while the latency for feature extraction is 0.76 us (61 clock period). After hardware-based image processing, the source image and the detected object features can be transferred to a personal computer for recording or post-processing at 10000 fps. Several experiments were done to demonstrate the performance of our proposed algorithm for ultra-high-speed moving object detection with clear texture information in images. |
| WOS关键词 | FEATURES |
| 资助项目 | National Natural Science Foundation of China[61673376] ; National Natural Science Foundation of China[61503376] ; Emergency Management Project of the National Natural Science Foundation of China[61741317] |
| WOS研究方向 | Engineering ; Instruments & Instrumentation ; Physics |
| 语种 | 英语 |
| WOS记录号 | WOS:000465288100029 |
| 出版者 | IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC |
| 资助机构 | National Natural Science Foundation of China ; Emergency Management Project of the National Natural Science Foundation of China |
| 源URL | [http://ir.ia.ac.cn/handle/173211/24922]  |
| 专题 | 精密感知与控制研究中心_精密感知与控制 中国科学院自动化研究所 |
| 通讯作者 | Gu, Qingyi |
| 作者单位 | 1.Chinese Acad Sci, Res Ctr Precis Sensing & Control, Inst Automat, Beijing 100190, Peoples R China 2.Univ Chinese Acad Sci, Sch Comp & Control Engn, Beijing 101408, Peoples R China 3.Hiroshima Univ, Dept Syst Cybernet, Robot Lab, Hiroshima 7398527, Japan |
| 推荐引用方式 GB/T 7714 | Li, Jianquan,Liu, Xilong,Liu, Fangfang,et al. A Hardware-Oriented Algorithm for Ultra-High-Speed Object Detection[J]. IEEE SENSORS JOURNAL,2019,19(10):3818-3831. |
| APA | Li, Jianquan,Liu, Xilong,Liu, Fangfang,Xu, De,Gu, Qingyi,&Ishii, Idaku.(2019).A Hardware-Oriented Algorithm for Ultra-High-Speed Object Detection.IEEE SENSORS JOURNAL,19(10),3818-3831. |
| MLA | Li, Jianquan,et al."A Hardware-Oriented Algorithm for Ultra-High-Speed Object Detection".IEEE SENSORS JOURNAL 19.10(2019):3818-3831. |
入库方式： OAI收割
来源：自动化研究所
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