Crowd density estimation has gained significant research interest owing to its potential in
various industries and social applications. Therefore, this article proposes a multistyle joint …

In recent years, crowd counting has attracted widespread attention due to its enormous
potential in the public safety inspection process. Visual-based measurement techniques …

As population growth and urbanization continue, accurate crowd counting is increasingly
important for public safety management and the Internet of Video Things (IOVT). However …

The integration of remote sensing object counting in the Mobile Edge Computing (MEC)
environment is of crucial significance and practical value. However, the presence of …

Existing counting models predominantly operate on a specific category of objects, such as
crowds and vehicles. The recent emergence of multi-modal foundational models, eg …

Existing crowd counting methods generally focus on addressing variations in crowd size,
density, and distribution, often overlooking the challenges posed by low-resolution (LR) …

Dense crowd counting has become an essential technology for urban security management.
The traditional crowd counting methods mainly apply to the scene with a single view and …

Existing group activity recognition methods generally use optical flow image to represent
motion within videos, which often struggle to capture the movements of individuals …

The majority of existing counting models are designed to operate on a singular object
category, such as crowds or vehicles. The emergence of multi-modal foundational models …

Crowd counting, a crucial computer vision task, aims at estimating the number of individuals
in various environments. Each person in crowd counting datasets is typically annotated by a …