Scilit logo
  • Rankings
  • Search Publications
    Cited-by Search
  • Sources
  • Publishers
  • Scholars
    Top Cited Scholars
  • Organizations
  • Scilit
    About Us
    Advisory Board
    Data Sources
    Career
    Support / Contact
    User Guide
    Publisher User
    Search Function
    Rankings Function
    API Resource
    Scilit Knowledge
    Metrics
    Scilit Recognitions
    Publications Classification
    Media
    News
    Blog
Register
  1. Home
  2. Publications
  3. Retraction Note: Human activity-based anomaly detection and recognition by surveillance video using kernel local component analysis with classification by deep learning techniques
  1. Home
  2. Publications
  3. Retraction Note: Human activity-based anomaly detection and recognition by surveillance video using kernel local component analysis with classification by deep learning techniques

Retraction Note: Human activity-based anomaly detection and recognition by surveillance video using kernel local component analysis with classification by deep learning techniques

Authors:
  • MPM. D. Anto Praveena
    M. D. Anto Praveena
  • PUP. Udayaraju
    P. Udayaraju
  • RCR. Krishna Chaitanya
    R. Krishna Chaitanya
  • SJS. Jayaprakash
    S. Jayaprakash
  • MKM. Kalaiyarasi
    M. Kalaiyarasi
  • SRS. Ramesh
    S. Ramesh

Publisher website
Google Scholar
  • 10 November 2026
    • journal article
    • retraction
    • Published by Springer Nature in Multimedia Tools and Applications
    • Vol. 85  (11) , 846
    • DOI:10.1007/s11042-026-22007-w
Abstract
No abstract available
Scilit logo

Have questions? Email us at support@scilit.com

© 2026 MDPI (Basel, Switzerland) unless otherwise stated.

MDPI initiatives

  • MDPI Journals
  • MDPI Books
  • Sciforum
  • Proceedings Series
  • Preprints.org
  • SciProfiles
  • Encyclopedia
  • JAMS

Legal

  • Privacy
  • Terms
  • About
  • Contact
  • Disclaimer

Follow us

  • facebook icon
  • x icon
  • linkedin icon

Join us

  • Career

© 2026 MDPI (Basel, Switzerland) unless otherwise stated.