Full-Text Search:
Home|Journal Papers|About CNKI|User Service|FAQ|Contact Us|中文
《Intelligent Computer and Applications》 2019-04
Add to Favorite Get Latest Update

Improved pedestrian target tracking algorithm combined with R-DAD and KCF

XU Xibin;Guangdong Engineering Polytechnic;  
Pedestrian target tracking technology has strong applicability in real life,but there are problems such as weak antiblocking. Therefore,using the convenience of the Jetson TK1 platform combined with the R-DAD(Region Decomposition and Assembly Detector) idea,the KCF(Kernelized Correlation Filters) tracking algorithm is improved to achieve the tracking of pedestrian targets. Experiments showthat the improved pedestrian target tracking system not only has less computation,high performance,fast speed,but also has good anti-blocking and accuracy.
【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.
Chinese Journal Full-text Database 2 Hits
1 ZHANG Chunfeng;SONG Jiatao;WANG Wanliang;College of Computer Science and Technology,Zhejiang University of Technology;School of Electronic and Information Engineering,Ningbo University of Technology;;Survey on Pedestrian Detection Technology[J];电视技术;2014-03
2 HE Cheng yuan (Dept. of Mathematics, Chengdu Teacher′s College, Chengdu\ 611930);Some Properties on the Circulant Matrices[J];数学的实践与认识;2001-02
Chinese Journal Full-text Database 10 Hits
1 Peng Bao;Sun Shaoyuan;Liang Bingchun;Zhao Haitao;Engineering Research Center of Digitized Textile & Fashion Technology , Ministry of Education ,College of Information Science and Technology Donghua University;School of Information Science and Engineering , East China University of Science and Technology;;Research of pedestrian detection method based on the feature fusion of interested region[J];微型机与应用;2015-18
2 GU Lingkang;ZHOU Mingzheng;Key Laboratory of Computer Application Technology, College of Computer and Information, Anhui Polytechnic University;;Fast Pedestrian Detection Based on Multi-feature Fusion[J];光电工程;2015-09
3 ZHANG Gui-ning;Department of Electronic Equipment and Information Management,Shaanxi Academy of Governance;;Study on Pedestrian Detection Based on Improved HOG Eigenvalues[J];计算机与现代化;2015-02
4 HUANG Jing-pin;TAN Yun-long;XU Ke-ji;College of Science, Guangxi University for Nationalities;;CIRCULANT MATRIX SOLUTION TO A CLASS OF QUATERNION MATRIX EQUATION AND ITS OPTIMAL APPROXIMATION[J];数学杂志;2014-02
5 JIANG Jiaqing(Teacher Education College,Taizhou University,Linhai 317000,PRC);A new Algorithm for Inverse of r-cyclic Matrix[J];高等数学研究;2012-01
6 JIANG Jiaqing(Teacher Education College,Taizhou University,Linhai 317000,China);Solving the Inverse of r-circular Matrix by Elementary Operation[J];海南师范大学学报(自然科学版);2011-04
7 LAN Yuan-jiao,HE Cheng-yuan(School of Mathematics and Computer Engineering,Xihua University,610039,Chengdu,Sichuan,PRC);The Determination Condition and Diagonalization of the Second Kind of r-circular Matrix[J];曲阜师范大学学报(自然科学版);2011-01
8 WANG Gui-jun1,HOU Hao2(1.School of Mathematics and Statistics,Tianshui Normal University,Tianshui 741001,China;2.Lan-Cheng-Yu Oil Transportation Company,Chengdu 610036,China);On the Three More Properties of the Generalized Shift Matrix[J];西安文理学院学报(自然科学版);2010-03
9 ZHUANG Li-bin(Department of Mathematics,Guangdong Business College,Guangzhou 510320,P.R.China);Metapositive Definiteness on Some Circulant Matrices[J];科学技术与工程;2008-04
10 Zhong Xianggui Zeng Lixin (School of Mathematical Sciences, Guangxi Normal University, Guilin, Guangxi, 541004, China);The Inverse Matrices of r-Cyclic Matrices[J];北京教育学院学报(自然科学版);2007-06
【Secondary Citations】
Chinese Journal Full-text Database 7 Hits
1 FU Yang1,SONG Huansheng1,2,CHEN Yan1,ZHU Xiaoping1(1.School of Information Engineering,Chang'an University,Xi'an 710064,China;2.Shaanxi Engineering and Technique Research Center for Road and Traffic Detection,Xi'an 710064,China);Method of Detecting Road Pedestrian Based on Video[J];电视技术;2012-13
2 Yang Yang,Yang Jingyu College of Computer Science and Technology,Nanjing University of Science and Technology,Nanjing 210094,China;Pedestrian detection based on compound feature[J];中国图象图形学报;2012-05
3 Wentao Yao, Zhidong Deng State Key Laboratory of Intelligent Technology and Systems, Tsinghua National Laboratory for Information Science and Technology, Department of Computer Science and Technology, Tsinghua University, Beijing 100084, China;A Robust Pedestrian Detection Approach Based on Shapelet Feature and Haar Detector Ensembles[J];Tsinghua Science and Technology;2012-01
4 XU Yan-wu1,2,CAO Xian-bin1,2,QIAO Hong3(1.Department of Computer Science and Technology,University of Science and Technology of China,Hefei,Anhui 230027,China;2.Key Laboratory of Software in Computing and Communication,Hefei,Anhui 230027 China;3.Institute of Automation,Chinese Academy of Sciences,Beijing 100080,China);Survey on the Latest Development of Pedestrian Detection System and Its Key Technologies Expectation[J];电子学报;2008-05
5 DU You-tian,CHEN Feng,XU Wen-li,LI Yong-bin(Department of Automation,Tsinghua University,Beijing 100084,China);A Survey on the Vision-Based Human Motion Recognition[J];电子学报;2007-01
6 JIA Hui-Xing ZHANG Yu-Jin1. Department of Electronic Engineering, Tsinghua University, Beijing 100084;A Survey of Computer Vision Based Pedestrian Detection for Driver Assistance Systems[J];自动化学报;2007-01
7 Shen Guangxing (Hangzhou Teachers' College);On Eigenvalues of Certain Circulant Matrices[J];应用数学;1991-03
©2006 Tsinghua Tongfang Knowledge Network Technology Co., Ltd.(Beijing)(TTKN) All rights reserved