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题名:
A method for real-time implementation of HOG feature extraction
作者: Luo HB(罗海波); Yu XR(余新荣); Liu HM(刘红梅); Ding QH(丁庆海)
作者部门: 光电信息研究室
会议名称: 4th International Symposium on Photoelectronic Detection and Imaging (ISPDI) - Advances in Infrared Imaging and Applications
会议日期: May 24-26, 2011
会议地点: Beijing, China
会议主办者: Chinese Soc Astronaut, Photoelect Technol Profess Comm, CSA, Tianjin Jinhang Inst Tech Phys, CASIC, Sci & Technol Low Light Level Night Vis Lab
会议录: INTERNATIONAL SYMPOSIUM ON PHOTOELECTRONIC DETECTION AND IMAGING 2011: ADVANCES IN INFRARED IMAGING AND APPLICATIONS
会议录出版者: SPIE-INT SOC OPTICAL ENGINEERING
会议录出版地: BELLINGHAM
出版日期: 2011
页码: 7 pp.
收录类别: EI ; CPCI(ISTP)
ISSN号: 0277-786X
ISBN号: 978-0-81948-834-3
关键词: histogram of oriented gradient (HOG) ; feature extraction ; real-time implementation ; parallel pipeline
摘要: Histogram of oriented gradient ( HOG) is an efficient feature extraction scheme, and HOG descriptors are feature descriptors which is widely used in computer vision and image processing for the purpose of biometrics, target tracking, automatic target detection(ATD) and automatic target recognition(ATR) etc. However, computation of HOG feature extraction is unsuitable for hardware implementation since it includes complicated operations. In this paper, the optimal design method and theory frame for real-time HOG feature extraction based on FPGA were proposed. The main principle is as follows: firstly, the parallel gradient computing unit circuit based on parallel pipeline structure was designed. Secondly, the calculation of arctangent and square root operation was simplified. Finally, a histogram generator based on parallel pipeline structure was designed to calculate the histogram of each sub-region. Experimental results showed that the HOG extraction can be implemented in a pixel period by these computing units.
语种: 英语
产权排序: 1
EI收录号: 20114114420269
WOS记录号: WOS:000297573900001
Citation statistics:
内容类型: 会议论文
URI标识: http://ir.sia.cn/handle/173321/7943
Appears in Collections:光电信息技术研究室_会议论文

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Recommended Citation:
Luo HB,Yu XR,Liu HM,et al. A method for real-time implementation of HOG feature extraction[C]. 4th International Symposium on Photoelectronic Detection and Imaging (ISPDI) - Advances in Infrared Imaging and Applications. Beijing, China. May 24-26, 2011.A method for real-time implementation of HOG feature extraction.
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