Computer Vision (CV) based surveillance in crowded scenes is one of the most significant
and promising topics due to the increase of people gatherings in public places where the …

Yapay sinir ağları ve makine öğrenmesi, uzun yıllardır birçok problemin çözümünde
kullanılmıştır. Problemlerin ve modellerin karmaşıklaşması ve veri sayısındaki artış …

Understanding crowd behavior using automated video analytics is a relevant research
problem in recent times due to complex challenges in monitoring large gatherings. From an …

This paper presents a novel method for global anomaly detection in crowded scenes. The
optical flow of frames is used to extract the foreground of areas with people motions in the …

Analysis of crowd behaviour in public places is an indispensable tool for video surveillance.
Automated detection of anomalous crowd behaviour is a critical problem with the increase in …

The coronavirus disease has spread throughout the world and its fear has made people to
be more cautious in public places. Since precautionary measures are the only reliable …

Crowd analysis on video recordings is an important research area currently. In this work, a
combined crowd density estimation method is presented to overcome this problem. To …

Mass gatherings and mass pedestrian flows such as during holy rituals are always
challenging for the management as well as for the people attending them. The holy city of …

L'informatique en périphérie est un paradigme émergent au sein de l'Internet des Objets
(IoT) et complémentaire à l'informatique en nuage. Ce paradigme propose l'implémenta-tion …

Crowd density estimation is an important topic in the fields of machine learning and video
surveillance. Existing methods do not provide satisfactory classification accuracy; moreover …