A comprehensive analysis for crowd counting methodologies and algorithms in Internet of Things
Abstract The Internet of Things (IoT) provides a collaborative infrastructure to communicate
smart devices with cloud-edge healthcare applications, medical devices, wearable …
smart devices with cloud-edge healthcare applications, medical devices, wearable …
HB-net: Holistic bursting cell cluster integrated network for occluded multi-objects recognition
X Gao, XG Gao, J Rong, X Chen, X Liao… - arXiv preprint arXiv …, 2023 - arxiv.org
Within the realm of image recognition, a specific category of multi-label classification (MLC)
challenges arises when objects within the visual field may occlude one another, demanding …
challenges arises when objects within the visual field may occlude one another, demanding …
Research on Local Counting and Object Detection of Multiscale Crowds in Video Based on Time‐Frequency Analysis
G Ren, X Lu, Y Li - Journal of Sensors, 2022 - Wiley Online Library
Objective. It has become a very difficult task for cameras to complete real‐time crowd
counting under congestion conditions. Methods. This paper proposes a DRC‐ConvLSTM …
counting under congestion conditions. Methods. This paper proposes a DRC‐ConvLSTM …
Adaptive Scale Selection Network for Crowd Counting
Crowd counting is a computer vision task that focuses on accurately estimating the number
of people present in a given scene. In the past few years, convolutional neural network …
of people present in a given scene. In the past few years, convolutional neural network …