Physics Inspired Methods for Crowd Video Surveillance and Analysis: A Survey

Social force model for pedestrian dynamics.

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Single-Image Crowd Counting via Multi-Column Convolutional Neural Network

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A Survey on Visual Surveillance of Object Motion and Behaviors

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Abnormal crowd behavior detection using social force model

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Privacy preserving crowd monitoring: Counting people without people models or tracking

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Cross-scene crowd counting via deep convolutional neural networks

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Multi-source Multi-scale Counting in Extremely Dense Crowd Images

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Feature Mining for Localised Crowd Counting

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Anomaly detection in extremely crowded scenes using spatio-temporal motion pattern models

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A survey of recent advances in CNN-based single image crowd counting and density estimation

Sindagi, V. A., & Patel, V. M. (2017) · Pattern Recognition Letters · doi:10.1016/j.patrec.2017.07.007 · Cited by 634 · see citing works

Violent flows: Real-time detection of violent crowd behavior

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A Lagrangian Particle Dynamics Approach for Crowd Flow Segmentation and Stability Analysis

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Crowd analysis: a survey

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Chaotic invariants of Lagrangian particle trajectories for anomaly detection in crowded scenes

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Who are you with and where are you going?

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PETS2009: Dataset and challenge

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Crowded Scene Analysis: A Survey

Li, T., Chang, H., Wang, M., Ni, B., Hong, R., & Yan, S. (2014) · IEEE Transactions on Circuits and Systems for Video Technology · doi:10.1109/tcsvt.2014.2358029 · Cited by 479 · see citing works

A survey on activity recognition and behavior understanding in video surveillance

Vishwakarma, S., & Agrawal, A. (2012) · The Visual Computer · doi:10.1007/s00371-012-0752-6 · Cited by 418 · see citing works

Unsupervised Bayesian Detection of Independent Motion in Crowds

Brostow, G., & Cipolla, R. (2006) · IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings · doi:10.1109/cvpr.2006.320 · Cited by 408 · see citing works

Floor Fields for Tracking in High Density Crowd Scenes

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Vision-Based Analysis of Small Groups in Pedestrian Crowds

Ge, W., Collins, R. T., & Ruback, R. B. (2011) · IEEE Transactions on Pattern Analysis and Machine Intelligence · doi:10.1109/tpami.2011.176 · Cited by 354 · see citing works

Crowd Analysis Using Computer Vision Techniques

Silveira Jacques Junior, J., Musse, S., & Jung, C. (2010) · IEEE Signal Processing Magazine · doi:10.1109/msp.2010.937394 · Cited by 343 · see citing works

Understanding collective crowd behaviors: Learning a Mixture model of Dynamic pedestrian-Agents

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Abnormal event detection in crowded scenes using sparse representation

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Understanding Transit Scenes: A Survey on Human Behavior-Recognition Algorithms

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Deeply learned attributes for crowded scene understanding

Shao, J., Kang, K., Loy, C. C., & Wang, X. (2015) · IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings · doi:10.1109/cvpr.2015.7299097 · Cited by 291 · see citing works

Marked point processes for crowd counting

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Scene-Independent Group Profiling in Crowd

Shao, J., Loy, C. C., & Wang, X. (2014) · IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings · doi:10.1109/cvpr.2014.285 · Cited by 262 · see citing works

Modelling Crowd Scenes for Event Detection

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Fast crowd density estimation with convolutional neural networks

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A Review of Anomaly Detection in Automated Surveillance

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A modification of the Social Force Model can reproduce experimental data of pedestrian flows in normal conditions

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Understanding pedestrian behaviors from stationary crowd groups

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Identifying Behaviors in Crowd Scenes Using Stability Analysis for Dynamical Systems

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Abnormal detection using interaction energy potentials

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A review on vision techniques applied to Human Behaviour Analysis for Ambient-Assisted Living

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Online Anomaly Detection in Crowd Scenes via Structure Analysis

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Recent survey on crowd density estimation and counting for visual surveillance

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A Streakline Representation of Flow in Crowded Scenes

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MODELING CROWD DYNAMICS FROM A COMPLEX SYSTEM VIEWPOINT

Bellomo, N., Piccoli, B., & Tosin, A. (2012) · Mathematical Models and Methods in Applied Sciences · doi:10.1142/s0218202512300049 · Cited by 169 · see citing works

Human exit route choice in virtual crowd evacuations

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Crowd behavior analysis: A review where physics meets biology

Kok, V. J., Lim, M. K., & Chan, C. S. (2015) · Neurocomputing · doi:10.1016/j.neucom.2015.11.021 · Cited by 151 · see citing works

Advances in Human Action Recognition: A SurveyPreprint

Cheng, G., Wan, Y., Saudagar, A. N., Namuduri, K. R., & Buckles, B. P. (2015) · arXiv (Cornell University) · doi:10.48550/arxiv.1501.05964 · Cited by 140 · see citing works

Coherent Filtering: Detecting Coherent Motions from Crowd Clutters

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Simulating and Evaluating the Local Behavior of Small Pedestrian Groups

Karamouzas, I., & Overmars, M. (2011) · IEEE Transactions on Visualization and Computer Graphics · doi:10.1109/tvcg.2011.133 · Cited by 134 · see citing works

Following the crowd or avoiding it? Empirical investigation of imitative behaviour in emergency escape of human crowds

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Modified social force model based on information transmission toward crowd evacuation simulation

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Social network model for crowd anomaly detection and localization

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Automated human behavior analysis from surveillance videos: a survey

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Examining influence of merging architectural features on pedestrian crowd movement

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A review of studies on understanding crowd dynamics in the context of crowd safety in mass religious gatherings

Gayathri, H. D. V., Aparna, P. M., & Verma, A. (2017) · International Journal of Disaster Risk Reduction · doi:10.1016/j.ijdrr.2017.07.017 · Cited by 103 · see citing works

Crowd Scene Understanding from Video

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Advances and trends in visual crowd analysis: A systematic survey and evaluation of crowd modelling techniques

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Experimental study on small group behavior and crowd dynamics in a tall office building evacuation

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Detecting global motion patterns in complex videos

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Semi-supervised Elastic net for pedestrian counting

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Computer vision based crowd disaster avoidance system: A survey

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Leadership and social information use in human crowds

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Multiple human tracking in high-density crowds

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An energy model approach to people counting for abnormal crowd behavior detection

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Abnormal crowd behavior detection by using the particle entropy

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Learning Scene-Independent Group Descriptors for Crowd Understanding

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Statistical Hypothesis Detector for Abnormal Event Detection in Crowded Scenes

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Pedestrian Behavior Modeling From Stationary Crowds With Applications to Intelligent Surveillance

Yi, S., Li, H., & Wang, X. (2016) · IEEE Transactions on Image Processing · doi:10.1109/tip.2016.2590322 · Cited by 71 · see citing works

Unified Crowd Segmentation

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Spatio-temporal texture modelling for real-time crowd anomaly detection

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Automatic visual detection of human behavior: A review from 2000 to 2014

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An entropy approach for abnormal activities detection in video streams

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The Large-Scale Crowd Behavior Perception Based on Spatio-Temporal Viscous Fluid Field

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Social Attribute-Aware Force Model: Exploiting Richness of Interaction for Abnormal Crowd Detection

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Analyzing crowd behavior in naturalistic conditions: Identifying sources and sinks and characterizing main flows

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A Heat-Map-Based Algorithm for Recognizing Group Activities in Videos

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Visual crowd surveillance through a hydrodynamics lens

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A Literature Review on Video Analytics of Crowded Scenes

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Towards crowd density-aware video surveillance applications

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Activity analysis in crowded environments using social cues for group discovery and human interaction modeling

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Detection of Anomalous Crowd Behavior Based on the Acceleration Feature

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Density independent hydrodynamics model for crowd coherency detection

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An agent-based crowd behaviour model for real time crowd behaviour simulation

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Scene invariant multi camera crowd counting

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miSFM: On combination of Mutual Information and Social Force Model towards simulating crowd evacuation

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Managing Crowds in Hazards With Dynamic Grouping

Akinwande, O., Bi, H., & Gelenbe, E. (2015) · IEEE Access · doi:10.1109/access.2015.2453341 · Cited by 50 · see citing works

Overview of Flow Visualization

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Crowd Monitoring and Classification: A Survey

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Crowd Motion Partitioning in a Scattered Motion Field

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Abnormal Crowd Behavior Detection by Social Force Optimization

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Simulation of Crowd Problems for Computer Vision

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The S-HOCK dataset: Analyzing crowds at the stadium

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Crowd Saliency Detection via Global Similarity Structure

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Tracking in dense crowds using prominence and neighborhood motion concurrence

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Salient motion detection in crowded scenes

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A Neuromorphic Person Re-Identification Framework for Video Surveillance

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Uncertainty in a spatial evacuation model

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Crowd Behavior Analysis via Curl and Divergence of Motion Trajectories

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DETECTION OF ABNORMAL BEHAVIORS IN CROWD SCENE: A REVIEW

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GrCS: Granular Computing-Based Crowd Segmentation

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Automatic model construction for the behavior of human crowds

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Crowd Behavior Analysis: A Survey

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A high accuracy flow segmentation method in crowded scenes based on streakline

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Visual-Based Human Crowds Behavior Analysis Based on Graph Modeling and Matching

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Auxiliary learning for crowd counting via count-net

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A modified social force model considering relative velocity of pedestrians

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Analysis-by-synthesis: Pedestrian tracking with crowd simulation models in a multi-camera video network

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Spatio-temporal crowd density model in a human detection and tracking framework

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AGORASET: a dataset for crowd video analysis

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Behavioral effects in room evacuation models

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Information entropy of earthquake populations in northeastern Italy and western Slovenia

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Crowd macro state detection using entropy model

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A review on abnormal crowd behavior detection

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