Crowd counting is an effective tool for situational awareness in public places. Automated
crowd counting using images and videos is an interesting yet challenging problem that has …

Crowd detection and counting are important tasks in several applications of crowd analysis
including traffic management, public safety and event planning. Automatic crowd counting …

Significant progress on the crowd counting problem has been achieved by integrating larger
context into convolutional neural networks (CNNs). This indicates that global scene context …

Crowd counting in congested scenes is a crucial yet challenging task in video surveillance
and urban security system. The performance of crowd counting has been greatly boosted …

In this paper, we present an analysis of important aspects that arise during the development
of neural network applications. Our aim is to determine if the choice of library can impact the …

Abstract The Internet of Things (IoT) provides a collaborative infrastructure to communicate
smart devices with cloud-edge healthcare applications, medical devices, wearable …

Crowd counting is a considerable yet challenging task in intelligent video surveillance and
urban security systems. The performance has been significantly boosted along with the …

Aiming at the problem that the existing crowd counting methods cannot achieve accurate
crowd counting and map visualization in a large scene, a crowd density estimation and …

In this paper, we make the first research effort to address the RGB-Thermal (RGB-T) crowd
counting problem with the decision-level late fusion manner. Being different from the existing …

Black Soldier Fly larvae (BSFL) play a vital role in waste management by efficiently
converting organic waste into protein-rich feed, thereby reducing environmental impact and …