Abnormal crowd motion behaviour detection based on SIFT flow

被引：0
|
作者：
Zhang, Dongping [1 ]
Xu, Kaihang [1 ]
Peng, Huailiang [1 ]
Shen, Ye [1 ]
机构：
[1] College of Information Engineering China, Jiliang University, Hangzhou, China
来源：
International Journal of Signal Processing, Image Processing and Pattern Recognition | 2015年 / 9卷 / 01期
关键词：
Behaviour detections - Coarse to fine - Dense scene correspondence - Orientation histograms - Sift flows;
D O I：
10.14257/ijsip.2016.9.1.28
中图分类号：
学科分类号：
摘要：
引用
收藏
页码：289 / 302
相关论文
共 50 条
  • [1] OPTICAL FLOW BASED LEARNING APPROACH FOR ABNORMAL CROWD ACTIVITY DETECTION WITH MOTION DESCRIPTOR MAP
    Kumar, Dhananjay
    Sarala, Govinda Raj Sampath
    2018 ITU KALEIDOSCOPE: MACHINE LEARNING FOR A 5G FUTURE (ITU K), 2018,
  • [2] A Novel Representation for Abnormal Crowd Motion Detection
    Liu, Songbo
    Jin, Ye
    Tao, Ye
    Tang, Xianglong
    INTELLIGENCE SCIENCE AND BIG DATA ENGINEERING, ISCIDE 2017, 2017, 10559 : 239 - 248
  • [3] Abnormal Crowd Behavior Detection Based on the Entropy of Optical Flow
    Zheyi Fan
    Wei Li
    Zhonghang He
    Zhiwen Liu
    Journal of Beijing Institute of Technology, 2019, 28 (04) : 756 - 763
  • [4] Abnormal Crowd Behavior Detection Based on the Entropy of Optical Flow
    Fan Z.
    Li W.
    He Z.
    Liu Z.
    Journal of Beijing Institute of Technology (English Edition), 2019, 28 (04): : 756 - 763
  • [5] Crowd abnormal behavior detection based on optical flow and track
    Wang H.-Y.
    Zhou M.-X.
    Jilin Daxue Xuebao (Gongxueban)/Journal of Jilin University (Engineering and Technology Edition), 2020, 50 (06): : 2229 - 2237
  • [6] A Fuzzy Logic-based Approach to Detection of Abnormal Crowd Behaviour
    Marcetic, Darijan
    Ribaric, Slobodan
    2019 61ST INTERNATIONAL SYMPOSIUM ELMAR, 2019, : 143 - 146
  • [7] ABNORMAL CROWD BEHAVIOUR DETECTION BASED ON DEEP LEARNING AND SPARSE REPRESENTATION
    Gai, Zhendi
    Liu, Dongmei
    Chang, Faliang
    Li, Nanjun
    INTERNATIONAL JOURNAL OF ROBOTICS & AUTOMATION, 2020, 35 (04): : 322 - 331
  • [8] Abnormal crowd behavior detection based on motion clustering of mesoscopic group
    Zhang, Xuguang
    Wang, Mengwei
    Zuo, Jiaqian
    Li, Xiaoli
    Yi Qi Yi Biao Xue Bao/Chinese Journal of Scientific Instrument, 2015, 36 (05): : 1106 - 1114
  • [9] Unsupervised Abnormal Behaviour Detection with Overhead Crowd Video
    Xu, Shoujiang
    Ho, Edmond S. L.
    Aslam, Nauman
    Shum, Hubert P. H.
    2017 11TH INTERNATIONAL CONFERENCE ON SOFTWARE, KNOWLEDGE, INFORMATION MANAGEMENT AND APPLICATIONS (SKIMA), 2017,
  • [10] Abnormal Crowd Behavior Detection Based on Optical Flow and Dynamic Threshold
    Liu, Yang
    Li, Xiaofeng
    Jia, Limin
    2014 11TH WORLD CONGRESS ON INTELLIGENT CONTROL AND AUTOMATION (WCICA), 2014, : 2902 - 2906
12345