Fast and automated recognizing of abnormal behaviors in crowded scenes is significantly
effective in increasing public security. The traditional procedure of recognizing abnormalities …

In today's scenario, there are frequent events (viz. political rallies, live concerts, strikes,
sports meet) occur in which many people gather to participate in the event. In crowded areas …

Crowd counting is a fundamental and challenging task that requires rich information to
generate a pixel-level crowd density map. Additionally, the development of thermal sensing …

There has been a lot of activity in graph representation learning in recent years. Graph
representation learning aims to produce graph representation vectors to represent the …

Smart Crowd management (SCM) solutions can mitigate overcrowding disasters by
implementing efficient crowd learning models that can anticipate critical crowd conditions …

Social scientists increasingly use video data, but large-scale analysis of its content is often
constrained by scarce manual coding resources. Upscaling may be possible with the …

Social media has brought opportunities and challenges to risk communication of disasters
by undermining the monopoly of traditional news media. This paper took blogs about Tianjin …

Trustworthy and explainable structural health monitoring (SHM) of bridges is crucial for
ensuring the safe maintenance and operation of deficient structures. Unfortunately, existing …

Effective evacuation management is crucial in response to an emergency at metro stations.
Due to the unpredictability and high complexity at metro stations, great challenges exist for …

Group detection is a crucial yet challenging task in various application domains, including
video surveillance analysis and service robot interactions. Previous studies have struggled …