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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 141–150 of 371 papers

TitleStatusHype
Application-Driven AI Paradigm for Person Counting in Various Scenarios—0
Crowd Counting with Online Knowledge Learning—0
LCDnet: A Lightweight Crowd Density Estimation Model for Real-time Video Surveillance—0
PromptMix: Text-to-image diffusion models enhance the performance of lightweight networks—0
Density-based clustering with fully-convolutional networks for crowd flow detection from dronesCode0
A Unified Object Counting Network with Object Occupation PriorCode0
HDNet: A Hierarchically Decoupled Network for Crowd Counting—0
Crowd Density Estimation using Imperfect Labels—0
Counting Like Human: Anthropoid Crowd Counting on Modeling the Similarity of Objects—0
DASECount: Domain-Agnostic Sample-Efficient Wireless Indoor Crowd Counting via Few-shot Learning—0
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