A novel framework and concept-based semantic search Interface for abnormal crowd behaviour analysis in surveillance videos

Volume: 79, Issue: 25-26, Pages: 17579 - 17617
Published: Feb 20, 2020
Abstract
Monitoring continuously captured surveillance videos is a challenging and time consuming task. To assist this issue, a new framework is introduced that applies anomaly detection, semantic annotation and provides a concept-based search interface. In particular, novel optical flow based features are used for abnormal crowd behaviour detection. Then, processed surveillance videos are annotated using a new semantic metadata model based on multimedia...
Paper Details
Title
A novel framework and concept-based semantic search Interface for abnormal crowd behaviour analysis in surveillance videos
Published Date
Feb 20, 2020
Volume
79
Issue
25-26
Pages
17579 - 17617
Citation AnalysisPro
  • Scinapse’s Top 10 Citation Journals & Affiliations graph reveals the quality and authenticity of citations received by a paper.
  • Discover whether citations have been inflated due to self-citations, or if citations include institutional bias.