Automated crowd density estimation and counting are popular and important topic in crowd
analysis. The last decades witnessed different of many significant publications in this field …

Crowd stampedes and incidents are critical threats to public security that have caused
countless deaths during the past few decades. To avoid crowd stampedes, real-time crowd …

Existing crowd counting algorithms rely on holistic, local or histogram based features to
capture crowd properties. Regression is then employed to estimate the crowd size …

People counting is one of the key techniques in video surveillance. This task usually
encounters many challenges in crowded environment, such as heavy occlusion, low …

The field of Weakly Supervised Learning (WSL) has recently seen a surge of popularity, with
numerous papers addressing different types of “supervision deficiencies”. In WSL use cases …

The number of pedestrians walking the streets or gathered in public spaces is a valuable
piece of information for shop owners, city governments, event organizers and many others …

A counting approach for crowd flow based on feature points is proposed. The objective is to
obtain the characteristics of the crowd flow in a scene, including the crowd orientation and …

Crowd density analysis is a crucial component in visual surveillance mainly for security
monitoring. This paper proposes a novel approach for crowd density measure, in which local …

With rapid developments in platforms and sensors technology in terms of digital cameras
and video recordings, crowd monitoring has taken a considerable attentions in many …

Population growth has made the probability of incidents at large-scale crowd events higher
than ever. In the past decades, automated crowd scene analysis done by computer vision …