Crowd density detection method based on crowd gathering mode and multi-column convolutional neural network
Published 2020 View Full Article
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Title
Crowd density detection method based on crowd gathering mode and multi-column convolutional neural network
Authors
Keywords
Computer vision, Overcrowding, Crowd gathering safety, Video surveillance, Accident analysis and early warning
Journal
IMAGE AND VISION COMPUTING
Volume 105, Issue -, Pages 104084
Publisher
Elsevier BV
Online
2020-12-05
DOI
10.1016/j.imavis.2020.104084
References
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Related references
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- Towards crowd density-aware video surveillance applications
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- (2014) Jarosław Wąs et al. NEUROCOMPUTING
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- (2014) Xiaoxia Yang et al. PHYSICA A-STATISTICAL MECHANICS AND ITS APPLICATIONS
- Estimation of crowd density by clustering motion cues
- (2014) Aravinda S. Rao et al. VISUAL COMPUTER
- Agent-based approach for crowded pedestrian evacuation simulation
- (2013) Xianye Ben et al. IET Intelligent Transport Systems
- How simple rules determine pedestrian behavior and crowd disasters
- (2011) M. Moussaid et al. PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA
- Crowd Density Analysis with Marked Point Processes [Applications Corner
- (2010) Weina Ge et al. IEEE SIGNAL PROCESSING MAGAZINE
- FROM CROWD DYNAMICS TO CROWD SAFETY: A VIDEO-BASED ANALYSIS
- (2008) ANDERS JOHANSSON et al. ADVANCES IN COMPLEX SYSTEMS
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