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Crowd Counting

Crowd Counting is a task to count people in image. It is mainly used in real-life for automated public monitoring such as surveillance and traffic control. Different from object detection, Crowd Counting aims at recognizing arbitrarily sized targets in various situations including sparse and cluttering scenes at the same time.

Source: Deep Density-aware Count Regressor

Papers

Showing 241250 of 371 papers

TitleStatusHype
Understanding the impact of mistakes on background regions in crowd counting0
3D Crowd Counting via Geometric Attention-guided Multi-View Fusion0
Online Guest Detection in a Smart Home using Pervasive Sensors and Probabilistic Reasoning0
Crowd Counting via Hierarchical Scale Recalibration Network0
NAS-Count: Counting-by-Density with Neural Architecture Search0
Towards Using Count-level Weak Supervision for Crowd Counting0
ZoomCount: A Zooming Mechanism for Crowd Counting in Static Images0
Multi-Stream Networks and Ground-Truth Generation for Crowd CountingCode0
A Real-Time Deep Network for Crowd CountingCode0
Hybrid Graph Neural Networks for Crowd Counting0
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