Estimating count and density maps from crowd images has a wide range of applications
such as video surveillance, traffic monitoring, public safety and urban planning. In addition …

Traditional handcrafted crowd-counting techniques in an image are currently transformed
via machine-learning and artificial-intelligence techniques into intelligent crowd-counting …

Crowd counting in single-view images has achieved outstanding performance on existing
counting datasets. However, single-view counting is not applicable to large and wide scenes …

Interest in automatic crowd behaviour analysis has grown considerably in the last few years.
Crowd behaviour analysis has become an integral part all over the world for ensuring …

Crowd counting is a difficult task because of the diversity of scenes. Most of the existing
crowd counting methods adopt complex structures with massive backbones to enhance the …

Visual recognition of crowd dynamics has had a huge impact on several applications
including surveillance, situation awareness, homeland security and intelligent environments …

Human group activity recognition (GAR) has attracted significant attention from computer
vision researchers due to its wide practical applications in security surveillance, social role …

In today's scenario human detection and tracking in video surveillance is important aspect
because of the abnormal action detection, person identification, activity recognition etc …

Abstract Human Motion Analysis (HMA) is currently one of the most popularly active
research domains as such significant research interests are motivated by a number of real …

Real time crowd analysis represents an active area of research within the computer vision
community in general and scene analysis in particular. Over the last 10 years, various …