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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
Crowd Counting Considering Network Flow Constraints in Videos—0
Crowd Counting by Self-supervised Transfer Colorization Learning and Global Prior Classification—0
Rethinking Global Context in Crowd Counting—0
A Short Overview of Multi-Modal Wi-Fi Sensing—0
Crowd Counting by Adaptively Fusing Predictions from an Image Pyramid—0
Crowd Counting by Adapting Convolutional Neural Networks with Side Information—0
Crowd Counting and Individual Localization Using Pseudo Square Label—0
Crowd Counting and Density Estimation by Trellis Encoder-Decoder Networks—0
Boosting Adverse Weather Crowd Counting via Multi-queue Contrastive Learning—0
A Density-Guided Temporal Attention Transformer for Indiscernible Object Counting in Underwater Video—0
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