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A method for real-time implementation of HOG feature extraction
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
会议录名称INTERNATIONAL SYMPOSIUM ON PHOTOELECTRONIC DETECTION AND IMAGING 2011: ADVANCES IN INFRARED IMAGING AND APPLICATIONS
出版者SPIE-INT SOC OPTICAL ENGINEERING
出版地BELLINGHAM
2011
页码7 pp.
收录类别EI ; CPCI(ISTP)
EI收录号20114114420269
WOS记录号WOS:000297573900001
产权排序1
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
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文献类型会议论文
条目标识符http://ir.sia.cn/handle/173321/7943
专题光电信息技术研究室
作者单位1.Shenyang Institute of Automation, Chinese Academy of Sciences, Shenyang 110016, China
2.Graduate School, Chinese Academy of Sciences, Beijing 100039, China
3.Key Laboratory of Optical-Electronics Information Processing, Chinese Academy of Science, Shenyang 110016, China
4.Key Laboratory of Image Understanding and Computer Vision, Liaoning Province 110016, China
5.AVIC HONGDU Aviation Industry Group LTD., Nanchang 330024, China
6.Research Institute of General Development and Demonstration of Equipment, Equipment of Air Force, Bejing 100076, China
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Luo HB,Yu XR,Liu HM,et al. A method for real-time implementation of HOG feature extraction[C]//Chinese Soc Astronaut, Photoelect Technol Profess Comm, CSA, Tianjin Jinhang Inst Tech Phys, CASIC, Sci & Technol Low Light Level Night Vis Lab. BELLINGHAM:SPIE-INT SOC OPTICAL ENGINEERING,2011:7 pp..
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