Abstract—To simultaneously estimate the number of heads and locate heads with bounding boxes, we resort to detection-based crowd counting by leveraging ...
Nov 4, 2021 · Abstract: To simultaneously estimate the number of heads and locate heads with bounding boxes, we resort to detection-based crowd counting ...
[TPAMI] Locating and Counting Heads in Crowds With a Depth Prior. License. View license · 25 stars 1 fork Branches Tags Activity · Star · Notifications You must ...
A density map guided detection module is proposed, which leverages density map to improve the head/non-head classification in detection network where the ...
We resort to detection-based crowd counting by leveraging RGB-D data and design a dual-path guided detection network (DPDNet). Specifically, we propose a ...
Duration: 4:17
Posted: Feb 25, 2024
Posted: Feb 25, 2024
[DPDNet] Locating and Counting Heads in Crowds With a Depth Prior (T-PAMI) [paper] [code] · [EPF] Counting People by Estimating People Flows (TPAMI) [paper][code ...
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 ...
A system for automatic people counting in crowded environments that performs foreground/background segmentation on depth image streams.
Missing: Locating Prior.
In this work, we propose a unified framework that integrates regression and detection models to estimate the crowd count in diverse scenes.