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Pedestrian Behavior Analysis in Crowds Using Image-Based Methods

2014
In this paper, we aim to investigate the image-based approaches and propose a framework to examine the pedestrian flow in crowds on various real situations. This research is inclined on two main aspects: first, an in-depth analysis of image-based approaches is given particularly for the situation containing large number of pedestrians (i.e., crowds ...
Saira Saleem Pathan, Klaus Richter
openaire   +1 more source

Crowd behaviors analysis and abnormal detection based on surveillance data

Journal of Visual Languages & Computing, 2014
Crowd analysis and abnormal trajectories detection are hot topics in computer vision and pattern recognition. As more and more video monitoring equipments are installed in public places for public security and management, researches become urgent to learn the crowd behavior patterns through the trajectories obtained by the intelligent video ...
Jing Cui, Weibin Liu, Weiwei Xing
openaire   +1 more source

A Review on Crowd Behavior Analysis Methods for Video Surveillance

Proceedings of the Second International Conference on Information and Communication Technology for Competitive Strategies, 2016
Abnormal Crowd Detection has become the most viral and active research topic in computer vision. There is need of automated tracking of the abnormalities in surveillance video sequence for the detection of abnormal events. These systems are mainly used for supervising and security purpose.
Saurabh Maheshwari, Surbhi Heda
openaire   +1 more source

Scale-aware CNN for crowd density estimation and crowd behavior analysis

Computers and Electrical Engineering, 2022
Vipul Sharma   +2 more
openaire   +1 more source

Crowd behavior analysis under cameras network fusion using probabilistic methods

2010 13th International Conference on Information Fusion, 2010
The use of cameras in surveillance is increasing in the last years due to the low cost of the sensor and the requirement by surveillance in public places. However, the manual analysis of this data is impracticable. Thus, automatic and robust methods to processing this high quantity of data are required.
P. Drews   +5 more
openaire   +1 more source

UNORGANIZED CROWD BEHAVIOR: A SOCIAL PSYCHOLOGICAL ANALYSIS

This article examines unorganized crowd behavior groups formed spontaneously without leadership or organizational structure through the lens of social psychology. It analyzes the psychological, social, and cultural dynamics underlying such behaviors by referencing theoretical approaches and both classical and contemporary studies.
openaire   +1 more source

Detecting anomalous crowd behavior using correlation analysis of optical flow

Signal, Image and Video Processing, 2019
Defining anomaly criteria is inherently a challenging and critical task. In current scenario, accurate and fast detection of any anomalous events by the visual surveillance system is a major target. To tackle this challenge, a novel method based on correlation analysis of the optical flow has been proposed in this paper for accurate and fast detection ...
Navneet Nayan   +2 more
openaire   +1 more source

Towards Efficient Crowd Counting and Behavior Analysis Using YOLOv11

International Journal of Technology and Modeling
The rapid growth of urban populations has intensified the need for robust crowd monitoring systems to ensure public safety and efficient resource management. This study explores the integration of YOLOv11, an advanced real-time object detection model, for crowd counting and behavior analysis in dynamic environments.
Amanda Amalia Lubis   +2 more
openaire   +1 more source

A survey of crowd counting and density estimation based on convolutional neural network

Neurocomputing, 2022
Zheng Zhang, Guangming Lu, Yu-Dong Zhang
exaly  

Research on Crowd Behavior Analysis: A Review

Journal of Computer-Aided Design & Computer Graphics, 2018
Qu Wang   +4 more
openaire   +1 more source

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