A Hardware-Oriented Algorithm for Ultra-High-Speed Object Detection
Li, Jianquan1,2; Liu, Xilong1,2; Liu, Fangfang1,2; Xu, De1,2; Gu, Qingyi1,2; Ishii, Idaku3
发表期刊IEEE SENSORS JOURNAL
ISSN1530-437X
2019-05-15
卷号19期号:10页码:3818-3831
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.

关键词Hardware implementation high-frame-rate vision field-programmable gate array multi-object detection histograms of oriented gradient support vector machine
DOI10.1109/JSEN.2019.2895294
关键词[WOS]FEATURES
收录类别SCI
语种英语
资助项目Emergency Management Project of the National Natural Science Foundation of China[61741317] ; National Natural Science Foundation of China[61673376] ; National Natural Science Foundation of China[61503376] ; National Natural Science Foundation of China[61503376] ; National Natural Science Foundation of China[61673376] ; Emergency Management Project of the National Natural Science Foundation of China[61741317]
WOS研究方向Engineering ; Instruments & Instrumentation ; Physics
WOS类目Engineering, Electrical & Electronic ; Instruments & Instrumentation ; Physics, Applied
WOS记录号WOS:000465288100029
出版者IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
七大方向——子方向分类智能硬件
引用统计
被引频次:13[WOS]   [WOS记录]     [WOS相关记录]
文献类型期刊论文
条目标识符http://ir.ia.ac.cn/handle/173211/24923
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
第一作者单位精密感知与控制研究中心
通讯作者单位精密感知与控制研究中心
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.
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