Full-Text Search:
Home|Journal Papers|About CNKI|User Service|FAQ|Contact Us|中文
《Control and Decision》 2014-02
Add to Favorite Get Latest Update

Review of object detection methods based on SVM

GUO Ming-wei;ZHAO Yu-zhou;XIANG Jun-ping;ZHANG Chen-bin;CHEN Zong-hai;Department of Automation,University of Science and Technology of China;  
The purpose of object detection is to detect and locate the object with a certain class from the static image or videos, and many studies simplify the object detection as a binary classification problem. For the reason that the support vector machine(SVM) can solve the pattern recognition problem well, especially the binary classification problem, how to use the SVM in computer vision becomes a hot point of many researchers. The status of object detection methods based on SVM is reviewed by introducing the concept and theory of SVM, the building of object feature model, training process and location of detection box. Finally, the future work of object detection methods based on SVM is discussed.
【Fund】: 国家自然科学基金项目(61005091 61375079)
【CateGory Index】: TP391.41;TP18
Download(CAJ format) Download(PDF format)
CAJViewer7.0 supports all the CNKI file formats; AdobeReader only supports the PDF format.
【Citations】
Chinese Journal Full-text Database 4 Hits
1 DING Shi-fei1,2,QI Bing-juan1,and TAN Hong-yan3(1.School of Computer Science and Technology,China University of Mining and Technology Xuzhou Jiangsu 221116; 2.Key Laboratory of Intelligent Information Processing,Institute of Computing Technology,Chinese Academy of Science Haidian Beijing 100080; 3.High Performance Network Laboratory,Institute of Acoustic,Chinese Academy of Science Haidian Beijing 100190);An Overview on Theory and Algorithm of Support Vector Machines[J];Journal of University of Electronic Science and Technology of China;2011-01
2 XU Jian-hua~1, ZHANG Xue-gong~2, LI Yan-da~2 (1.School of Mathematical and Computer Science, Nanjing Normal University, Nanjing 210097, China; 2.Department of Automation, Tsinghua University, Beijing 100084, China.);Advances in support vector machines[J];Control and Decision;2004-05
3 ZHANG Xuegong (Dept.of Automation,Tsinghua University,Beijing 100084) (State Key Laboratory of Intelligent Technology and Systems of China);INTRODUCTION TO STATISTICAL LEARNING THEORY AND SUPPORT VECTOR MACHINES[J];;2000-01
4 YANG Yang1 LI Shan-Ping1 1.College of Computer Science and Technology,Zhejiang University,Hangzhou 310027;Fast Object Detection with Deformable Part Models and Segment Locations' Hint[J];Acta Automatica Sinica;2012-04
【Co-citations】
Chinese Journal Full-text Database 10 Hits
1 Han Qiang;Word Matching on Handwritten Document Based on GHT[J];Journal of Anhui Vocational College of Electronics & Information Technology;2011-05
2 WANG Dong-xia1,ZHANG Nan2,LU Xiao-li(1.Department of Computer Science,Jiyuan Vocational and Technical College,Jiyuan 454650,China;2.Department of Mathematics,Northwest University,Xi'an 710127,China;3.School of Public Management,Northwest University,Xi'an 710127,China);Parameters selection of SVM based on breeding algorithm[J];Journal of Anhui University(Natural Sciences);2009-04
3 YANG Xu-bing~1,HAN Zi-cun~2 (1.Dept. of Art. Desi., Anhui University of Technology and Science, Wuhu 241000, China, 2. College of Information Science and Technology Nanjing University of Aeronautics & Astronautics, Nanjing 210016, China);ε-Insensitive kernel-based adaline algorithm and its application[J];Journal of Anhui University of Technology and Science;2003-04
4 TAO Xiu-feng~1,TANG Shi-zhong~1,ZHOU Ming-zheng~2 (1.Dept.of Elec., Anhui University of Technology and Science, Wuhu 241000, China; 2.Dept. of Comp. Sci. & Engn., Anhui University of Technology and Science ,Wuhu 241000,China);A model and application of soft-sensor based on support vector machine[J];Journal of Anhui University of Technology and Science;2004-02
5 XU Gao-cheng et al(College of Environment and Resource College,Southwest Science and Technology University,Mianyang,Sichuan 621010);Application of Supporting Vector Machine Technology in Extraction of Remote Sensing Image of Landslide[J];Journal of Anhui Agricultural Sciences;2009-06
6 CHENG Wei et al(Key Lab.of Intelligent Computing & Signal Processing,Anhui University,Hefei,Anhui 230039);Application of Support Vector Machine in Forecast of Grain Yield[J];Journal of Anhui Agricultural Sciences;2009-08
7 WU Su-hua (Jiangsu University,Zhenjiang,Jiangsu 212003);Study and Analysis on Detection of Soil Water Content Based on Least Squares Support Vector Machine[J];Journal of Anhui Agricultural Sciences;2009-09
8 CHEN Nian et al(Department of Computer Science,Chizhou College,Chizhou,Anhui 247000);Identification of Tea Quality Based on Chemical Composition Detection and SVM Classification[J];Journal of Anhui Agricultural Sciences;2010-15
9 GUO Li-ping et al(China University of Geosciences,Beijing 100083);Research Advances in Remote Sensing Image Fusion and Classification Using Support Vector Machine[J];Journal of Anhui Agricultural Sciences;2010-17
10 GUAN Cui-ping (College of Life Science,Ningxia University,Yinchuan,Ningxia 750021);Recognition Prediction on G-Protein-Coupled-Receptors of Drug Target[J];Journal of Anhui Agricultural Sciences;2010-24
China Proceedings of conference Full-text Database 10 Hits
1 Xiukuan Zhao~(a,b,*),Min Li~b,Jinwu Xu~b,Gangbing Song~c ~aBeijing National Observatory of Space Environment,Institute of Geology and Geophysics,Chinese Academy of Sciences,Beijing 100029,China ~bSchool of Mechanical Engineering,University of Science and Technology Beijing,Beijing 100083,China ~cDepartment of Mechanical Engineering,University of Houston,Houston,TX 77204,USA;An effective procedure exploiting unlabeled data to build monitoring system[A];[C];2012
2 Sui Shulin ,Sun Lihong,Yao Wenlong,Yuan Jian Qingdao University of Science and Technology,Qingdao 266042,P.R.China;Improved UKF and SIFT Based on Information Fusion Method in Autonomous Optical Navigation[A];[C];2007
3 Song Haiying ,Gui Weihua ,Yang Chunhua School of Information Science and Engineering,Central South University,Changsha,410083,P.R.China;Reduced Least Squares Support Vector Based on Kernel Partial Least Squares and Its Application Research[A];[C];2007
4 Wang Lianhong1,Zhang Guoyun 2,Zhang Jing1 1.College of Electrical and Information Engineering,Hunnan University,Changsha 410082,P.R.China2.Dept.of Physics and Electronics Information,Hunan Institute of Science and Technology,Yueyang,414006,P.R.China;A Novel Kernel PCA Support Vector Machine Algorithm with Feature Transition Function[A];[C];2007
5 Tao Xiaoyan,Xia Jingbo,Zhang Rui The Telecommunication Engineering Institute,Air Force Engineering University,Xi'an 710077,P.R.China;A Novel Proximal Support Vector Machine and Its Application in Radar Target Recognition[A];[C];2007
6 Wang Li,Ye Hua,Xia Liangzheng Automation Institute,Southeast University,Nanjing 210096,P.R.China;Mouth Detection Based on Interest Point[A];[C];2007
7 Zhao Fengda,Kong Lingfu,Li Xianshan College of Information Science and Engineering,Yanshan University,Qinhuangdao 066004,P.R.China;Loop-closing By Using SIFT Features for Mobile Robots[A];[C];2007
8 Gu Xiaojun1,2,Yang Shixi1,Qian Suxiang2 1.College of Mechanical and Energy Engineering,Zhejiang University,Hangzhou,310027,P.R.China2.College of Mechanical Engineering,Jiaxing University,Jiaxing,China,314001,P.R.China;On Rotary Machine's Multi-Class Fault Recognition Based on SVM[A];[C];2007
9 Lv Peng1,Liu Yibing2,Ma Qiang2,Wei Yufan2 1.School of Mathematics and Physics,North China Electric Power University,Beijing 102206,P.R.China2.Department of automatics,North China Electric Power University,Beijing 102206,P.R.China;Gear Intelligent Fault Diagnosis Based on Support Vector Machines[A];[C];2007
10 Jiang Minghui,Yuan Xuchuan School of Management,Harbin Institute of Technology,Harbin 150001,P.R.China;Personal Credit Scoring Model Based on SVM Optimized by GA[A];[C];2007
【Secondary Citations】
Chinese Journal Full-text Database 10 Hits
1 LIAN Ke,HUANG Jian-guo,WANG Hou-jun,LONG Bing(Department of Automation Engineering,University of Electronic Science and Technology of China,Chengdu,Sichuan 610054,China);Study on a GA-based SVM Decision-tree Multi-Classification Strategy[J];Acta Electronica Sinica;2008-08
2 ZHANG Wen-hao,WANG Wen-jian(Key Laboratory of Computational Intelligence and Chinese Information Processing of Ministry of Education,College of Computer and Information Technology,Shanxi University,Taiyuan 030006,China);A Kernel Granular Support Vector Machine Based on Association Rules[J];Journal of Guangxi Normal University(Natural Science Edition);2009-03
3 Li Yingxin and Ruan Xiaogang (School of Electronic Information and Control Engineering, Beijing University of Technology, Beijing 100022);Feature Selection for Cancer Classification Based on Support Vector Machine[J];Journal of Computer Research and Development;2005-10
4 Lin Kaibiao Wang Zhoujing(Dept. of Automation,Xiamen University,Xiamen,Fujian 361005);The Method of Fax Receiver's Name Recognition Based on SVM[J];Computer Engineering and Applications;2006-07
5 GUO Hu-sheng,WANG Wen-jian School of Computer and Information Technology,Key Laboratory of Computational Intelligence and Chinese Information Processing of Ministry of Education,Shanxi University,Taiyuan 030006,China;Research on SVM learning algorithms based on neural networks[J];Computer Engineering and Applications;2009-02
6 SUN Ming-song,GAO Qing-guo,WANG Xuan-dan College of Computer Science & Technology,Harbin University of Science and Technology,Harbin 150080,China;Mail filtering by dual membership fuzzy support vector machine[J];Computer Engineering and Applications;2010-02
7 LI Dao-Guo;MIAO Duo-Qan;ZHANG Dong-Xing;ZHANG Hong-Yun Department of Computer Science and Technology, Tongji University, Shanghai 200092 Yang Quan College of Taiyuan University of Technology, Shanxi Yangquan 045001;An Overview of Granular Computing[J];Computer Science;2005-09
8 GAO Wei, WANG Ning (Department of Physics, Ocean University of China, Qingdao 266100);Prediction of Shallow-water Reverberation Time Series Using Support Vector Machine[J];Computer Engineering;2008-06
9 WANG Yang~(1,2) HUANG Ya-lou~1 LIU Jie~2 LI dong~2 KUAI Yu-hao~1 (1.College of Software,Nankai University,Tianjin 300071;2.College of Information Technology Science,Nankai University,Tianjin 300071);Algorithm of Active Learning to Rank Based on PRank Algorithm[J];Computer Engineering;2008-21
10 XIE Sai-qin1,SHEN Fu-ming2,QIU Xue-na3 (1.Ningbo Institute of Scientific & Technical Information,Ningbo 315040;2.Ningbo Television,Ningbo 315012; 3.College of Electronic and Information Engineering,Ningbo University of Technology,Ningbo 315016);Face Recognition Method Based on Support Vector Machine[J];Computer Engineering;2009-16
©2006 Tsinghua Tongfang Knowledge Network Technology Co., Ltd.(Beijing)(TTKN) All rights reserved