Detection of Appearance and Behavior Anomalies in Stationary Camera Videos Using Convolutional Neural Networks

被引:0
|
作者
H. Chen
R. Bohush
I. Kurnosov
G. Ma
Y. Weichen
S. Ablameyko
机构
[1] Zhejiang Shuren University,
[2] International Science and Technology Cooperation Base of Zhejiang Province: Remote Sensing Image Processing and Application,undefined
[3] Polotsk State University,undefined
[4] Belarusian State University,undefined
[5] EarthView Image Inc.,undefined
[6] United Institute for Informatics Problems,undefined
[7] National Academy of Sciences of Belarus,undefined
来源
关键词
video surveillance; face mask; tracking-by-detection; motion features; loitering;
D O I
暂无
中图分类号
学科分类号
摘要
引用
收藏
页码:254 / 265
页数:11
相关论文
共 50 条
  • [1] Detection of Appearance and Behavior Anomalies in Stationary Camera Videos Using Convolutional Neural Networks
    Chen, H.
    Bohush, R.
    Kurnosov, I.
    Ma, G.
    Weichen, Y.
    Ablameyko, S.
    [J]. PATTERN RECOGNITION AND IMAGE ANALYSIS, 2022, 32 (02) : 254 - 265
  • [2] Violence Detection in Videos using Deep Recurrent and Convolutional Neural Networks
    Traore, Abdarahmane
    Akhloufi, Moulay A.
    [J]. 2020 IEEE INTERNATIONAL CONFERENCE ON SYSTEMS, MAN, AND CYBERNETICS (SMC), 2020, : 154 - 159
  • [3] Automated Disease Detection in Gastroscopy Videos Using Convolutional Neural Networks
    Zhang, Chenxi
    Xiong, Zinan
    Chen, Shuijiao
    Ding, Alex
    Cao, Yu
    Liu, Benyuan
    Liu, Xiaowei
    [J]. FRONTIERS IN MEDICINE, 2022, 9
  • [4] Detection of anomaly in surveillance videos using quantum convolutional neural networks
    Amin, Javaria
    Anjum, Muhammad Almas
    Ibrar, Kainat
    Sharif, Muhammad
    Kadry, Seifedine
    Crespo, Ruben Gonzalez
    [J]. IMAGE AND VISION COMPUTING, 2023, 135
  • [5] Anomalies Detection in Metocean Simulation Results Using Convolutional Neural Networks
    Vychuzhanin, Pavel
    Hvatov, Alexander
    Kalyuzhnaya, Anna, V
    [J]. 7TH INTERNATIONAL YOUNG SCIENTISTS CONFERENCE ON COMPUTATIONAL SCIENCE, YSC2018, 2018, 136 : 321 - 330
  • [6] Detection of Pedestrians in Reverse Camera Using Multimodal Convolutional Neural Networks
    Reveles-Gomez, Luis C.
    Luna-Garcia, Huizilopoztli
    Celaya-Padilla, Jose M.
    Barria-Huidobro, Cristian
    Gamboa-Rosales, Hamurabi
    Solis-Robles, Roberto
    Arceo-Olague, Jose G.
    Galvan-Tejada, Jorge I.
    Galvan-Tejada, Carlos E.
    Rondon, David
    Villalba-Condori, Klinge O.
    [J]. SENSORS, 2023, 23 (17)
  • [7] AUTOMATIC POLYP DETECTION IN COLONOSCOPY VIDEOS USING AN ENSEMBLE OF CONVOLUTIONAL NEURAL NETWORKS
    Tajbakhsh, Nima
    Gurudu, Suryakanth R.
    Liang, Jianming
    [J]. 2015 IEEE 12TH INTERNATIONAL SYMPOSIUM ON BIOMEDICAL IMAGING (ISBI), 2015, : 79 - 83
  • [8] HUMAN ACTIVITY DETECTION AND ACTION RECOGNITION IN VIDEOS USING CONVOLUTIONAL NEURAL NETWORKS
    Basavaiah, Jagadeesh
    Patil, Chandrashekar Mohan
    [J]. JOURNAL OF INFORMATION AND COMMUNICATION TECHNOLOGY-MALAYSIA, 2020, 19 (02): : 157 - 183
  • [9] Real time violence detection in surveillance videos using Convolutional Neural Networks
    Irfanullah
    Hussain, Tariq
    Iqbal, Arshad
    Yang, Bailin
    Hussain, Altaf
    [J]. MULTIMEDIA TOOLS AND APPLICATIONS, 2022, 81 (26) : 38151 - 38173
  • [10] Convolutional Neural Networks Based Fire Detection in Surveillance Videos
    Muhammad, Khan
    Ahmad, Jamil
    Mehmood, Irfan
    Rho, Seungmin
    Baik, Sung Wook
    [J]. IEEE ACCESS, 2018, 6 : 18174 - 18183