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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

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Showing 221–230 of 371 papers

TitleStatusHype
A Deeply-Recursive Convolutional Network for Crowd Counting—0
A Density-Guided Temporal Attention Transformer for Indiscernible Object Counting in Underwater Video—0
Adept: Annotation-Denoising Auxiliary Tasks with Discrete Cosine Transform Map and Keypoint for Human-Centric Pretraining—0
A Flow Base Bi-path Network for Cross-scene Video Crowd Understanding in Aerial View—0
A Generalized Loss Function for Crowd Counting and Localization—0
A Lightweight Feature Fusion Architecture For Resource-Constrained Crowd Counting—0
Application-Driven AI Paradigm for Person Counting in Various Scenarios—0
A Short Overview of Multi-Modal Wi-Fi Sensing—0
A Spatio-Temporal Attentive Network for Video-Based Crowd Counting—0
A Strong Baseline for Crowd Counting and Unsupervised People Localization—0
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