Results 1 to 10 of about 13,616 (168)

Visual Analysis and Recognition of Crowd Behavior by Principal Component Analysis

Algerian Journal of Signals and Systems, 2021
The analysis of the human behavior from video is a wide field of the vision by computer. In this work, we are presenting mainly a new approach and method of detects behavior or abnormal events continuous of crowd in the case of the dangerous situations.
Hocine Chebi, Dalila Acheli, Mohamed Kesraoui   +2 more
doaj   +3 more sources

COMPARATIVE ANALYSIS OF MODELS FOR COMPUTER CALCULATIONS OF CROWD BEHAVIOR

East European Journal of Physics, 2015
The question of the crowd behavior description in emergency situations has been considered. The review of studies devoted to the description of real streams of people has been executed. Its main characteristics in normal and emergencies have been defined.
A. N. Odeychuk, N. I. Adamenko, V. I. Tkachenko   +2 more
doaj   +1 more source

CROWD ABNORMAL BEHAVIOUR DETECTION USING DEEP LEARNING [PDF]

ITM Web of Conferences, 2020
Crowd analysis has become an extremely famous research point in the territory of computer vision. Computerized examination of group exercises utilizing reconnaissance recordings is a significant issue for public security since it permits the ...
Sonkar Riddhi, Rathod Sadhana, Jadhav Renuka, Patil Deepali   +3 more
doaj   +1 more source

Recent trends in crowd analysis: A review

Machine Learning with Applications, 2021
When overpopulated cities face frequent crowded events like strikes, demonstrations, parades or other sorts of people gatherings, they are confronted to multiple security issues. To mitigate these issues, security forces are often involved to monitor the
Mounir Bendali-Braham, Jonathan Weber, Germain Forestier, Lhassane Idoumghar, Pierre-Alain Muller   +4 more
doaj   +1 more source

Abnormal Behavior Detection over Normal Data and Abnormal-augmented Data in Crowded Scenes [PDF]

Journal of Artificial Intelligence and Data Mining, 2022
In this article, we consider the problems of abnormal behavior detection in a high-crowded environment. One of the main issues in abnormal behavior detection is the complexity of the structure patterns between the frames.
V. Fazel Asl, B. Karasfi, B. Masoumi
doaj   +1 more source

A human behavior analysis model to track object behavior in surveillance videos

Measurement: Sensors, 2022
In potential disasters, real world scenarios and public events, understanding of crowd psychology is a challenging process and detection of crowd behaviors in those events is quite complicated.
Shruthi, Prakash Pattan, Shravankumar Arjunagi   +2 more
doaj   +1 more source

Crowd behavior understanding through SIOF feature analysis [PDF]

2017 23rd International Conference on Automation and Computing (ICAC), 2017
Realizing the automated and online detection of crowd anomalies from surveillance CCTVs is a research-intensive and application-demanding task. This research proposes a novel technique for detecting crowd abnormalities through analyzing the spatial and temporal features of the input video signals.
Lu, Li, He, Jianhua, Xu, Zhijie, Xu, Yuanping, Zhang, Chaolong, Wang, Jing, Adu, Jianhua   +6 more
openaire   +1 more source

A COMPARATIVE STUDY OF CROWD COUNTING AND PROFILING THROUGH VISUAL AND NON-VISUAL SENSORS [PDF]

Acta Informatica Malaysia, 2019
In this paper we present a comparative critical study of visual and non-visual sensors used in crowd behavior analysis. The understanding of crowd has main impact of the analysis how much they support the system is the key factor of the analysis.
Jugal Kishor Gupta, S.K. Gupta
doaj   +1 more source

Machine Learning-Based Crowd behavior Analysis and Forecasting

International Journal of Scientific Research in Computer Science, Engineering and Information Technology, 2023
In many places today, the world's overcrowding causes crowded conditions. Analysis of crowd activity is a developing field of study. It is common knowledge that mob activity can forecast what might happen during an event. Crowd management could be very effective if situations like riots, mass lynchings, traffic jams, accidents, stampedes, etc. could be
null Sachin Bhardwaj, null Apoorva Dwivedi, null Ashutosh Pandey, null Dr. Yusuf Perwej, null Pervez Rauf Khan   +4 more
openaire   +1 more source

Behavioral data assists decisions: exploring the mental representation of digital-self

International Journal of Crowd Science, 2021
PurposeThe behavioral decision-making of digital-self is one of the important research contents of the network of crowd intelligence. The factors and mechanisms that affect decision-making have attracted the attention of many researchers.
Yixin Zhang, Lizhen Cui, Wei He, Xudong Lu, Shipeng Wang   +4 more
doaj   +1 more source