High Accuracy based Video Surveillance system by Local Mean-Based K-Nearest Centroid Neighbour Algorithm

被引：0
|
作者：
Ruchikakaushik [1 ]
Sharma, Anil Kumar [2 ]
机构：
[1] Digital Commun, Alwar, India
[2] Inst Engn & Technol, Alwar, India
来源：
2018 4TH INTERNATIONAL CONFERENCE ON COMPUTATIONAL INTELLIGENCE & COMMUNICATION TECHNOLOGY (CICT) | 2018年
关键词：
video surveillance systems; surveillance applications; MATLAB; LMKNCN;
D O I：
暂无
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
In recent times, there has been a tremendous increase in criminal and terrorist activities around the globe. Therefore in light of the increasing number of such events, there has arisen a need for a 24*7 surveillance system that is governed by computerized monitoring. These systems work on the basis of machine learning that recognizes harmful activities or movements on the basis of the database that has been given to it. Automatically, when the system recognizes such activities it activates the alarm system. Here, we have implemented LMKNCN (Local Mean-Based K-Nearest Centroid Neighbour) through MATLAB.
引用
收藏
页数：6
相关论文
共 50 条
  • [1] A Local Mean-Based k-Nearest Centroid Neighbor Classifier
    Gou, Jianping
    Yi, Zhang
    Du, Lan
    Xiong, Taisong
    COMPUTER JOURNAL, 2012, 55 (09): : 1058 - 1071
  • [2] Spectra Classification Based on Local Mean-Based K-Nearest Centroid Neighbor Method
    Tu Liang-ping
    Wei Hui-ming
    Wang Zhi-heng
    Wei Peng
    Luo A-li
    Zhao Yong-heng
    SPECTROSCOPY AND SPECTRAL ANALYSIS, 2015, 35 (04) : 1103 - 1106
  • [3] Galaxy and Quasar Classification Based on Local Mean-based k-Nearest Neighbor Method
    Tu, Liangping
    Wei, Huiming
    Ai, Liya
    PROCEEDINGS OF 2015 IEEE 5TH INTERNATIONAL CONFERENCE ON ELECTRONICS INFORMATION AND EMERGENCY COMMUNICATION, 2015, : 285 - 288
  • [4] Attention-based Local Mean K-Nearest Centroid Neighbor Classifier
    Ma, Ying
    Huang, Rui
    Yan, Ming
    Li, Guoqi
    Wang, Tian
    EXPERT SYSTEMS WITH APPLICATIONS, 2022, 201
  • [5] Prediction of MUET Results Based on K-Nearest Neighbour Algorithm
    Sabri N.M.
    Hamrizan S.F.A.
    Annals of Emerging Technologies in Computing, 2023, 7 (05) : 50 - 59
  • [6] Improved Local Mean-Based Pseudo Nearest Neighbor Algorithm
    Li, Yi
    Zhang, Desheng
    Zhang, Xiao
    Computer Engineering and Applications, 2024, 60 (05) : 88 - 94
  • [7] Improving the accuracy of k-nearest neighbor using local mean based and distance weight
    Syaliman, K. U.
    Nababan, E. B.
    Sitompul, O. S.
    2ND INTERNATIONAL CONFERENCE ON COMPUTING AND APPLIED INFORMATICS 2017, 2018, 978
  • [8] A multilevel k-nearest neighbour learning algorithm based on k-means clustering
    Ying, Xu
    2007 International Symposium on Computer Science & Technology, Proceedings, 2007, : 250 - 253
  • [9] Dynamic Data Discretization Technique based on Frequency and K-Nearest Neighbour algorithm
    Ahmed, Almahdi Mohammed
    Abu Bakar, Azuraliza
    Hamdan, Abdul Razak
    2009 2ND CONFERENCE ON DATA MINING AND OPTIMIZATION, 2009, : 10 - 14
  • [10] Ensemble k-nearest neighbors based on centroid displacement
    Wang, Alex X.
    Chukova, Stefanka S.
    Nguyen, Binh P.
    INFORMATION SCIENCES, 2023, 629 : 313 - 323
12345