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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)
Department光电信息研究室
Conference Name4th International Symposium on Photoelectronic Detection and Imaging (ISPDI) - Advances in Infrared Imaging and Applications
Conference DateMay 24-26, 2011
Conference PlaceBeijing, China
Author of SourceChinese Soc Astronaut, Photoelect Technol Profess Comm, CSA, Tianjin Jinhang Inst Tech Phys, CASIC, Sci & Technol Low Light Level Night Vis Lab
Source PublicationINTERNATIONAL SYMPOSIUM ON PHOTOELECTRONIC DETECTION AND IMAGING 2011: ADVANCES IN INFRARED IMAGING AND APPLICATIONS
PublisherSPIE-INT SOC OPTICAL ENGINEERING
Publication PlaceBELLINGHAM
2011
Pages7 pp.
Indexed ByEI ; CPCI(ISTP)
EI Accession number20114114420269
WOS IDWOS:000297573900001
Contribution Rank1
ISSN0277-786X
ISBN978-0-81948-834-3
KeywordHistogram Of Oriented Gradient (Hog) Feature Extraction Real-time Implementation Parallel Pipeline
AbstractHistogram 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.
Language英语
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Cited Times:1[WOS]   [WOS Record]     [Related Records in WOS]
Document Type会议论文
Identifierhttp://ir.sia.cn/handle/173321/7943
Collection光电信息技术研究室
Affiliation1.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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