The objective of crowd counting is to automatically analyze densely populated scenes, aiming to determine the precise count of individuals within raw images.
Sep 29, 2023 · This paper introduces a novel architecture with a three-branch structure aimed at synergistically incorporating hierarchical foreground ...
Jul 4, 2023 · This paper accordingly proposes a novel architecture with a three-branch structure that fuses hierarchical foreground information and global ...
This paper introduces a novel architecture with a three-branch structure aimed at synergistically incorporating hierarchical foreground information and ...
Feb 13, 2024 · In this survey, we explored three main categories of crowd counting methods: counting by detection, counting by regression, and counting using Convolutional ...
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This survey is to provide a comprehensive summary of recent advanced crowd counting techniques based on Convolutional Neural Network (CNN) via density map ...
Foreground Segmentation-Based Density Grading Networks for Crowd Counting ... 估计单个图像或视频帧内的对象数量是计算机视觉领域中一项具有挑战性但又至关重要的任务。
The proposed network is composed of a classification sub-network to estimate crowd scales and a main network to predict the corresponding density maps. Firstly, ...
We propose a motional foreground attention-based video crowd counting method. Specifically, we first leverage an foreground estimation module based on ConvNeXt.
In this paper, we propose a new agency-guided semi-supervised counting approach. First, we build a learnable auxiliary structure, namely the density agency ...