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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 261–270 of 371 papers

TitleStatusHype
Cross-Scene Crowd Counting via Deep Convolutional Neural Networks—0
Cross-View Cross-Scene Multi-View Crowd Counting—0
Crowd Counting and Density Estimation by Trellis Encoder-Decoder Network—0
Crowd Counting and Density Estimation by Trellis Encoder-Decoder Networks—0
Crowd Counting and Individual Localization Using Pseudo Square Label—0
Crowd Counting by Adapting Convolutional Neural Networks with Side Information—0
Crowd Counting by Adaptively Fusing Predictions from an Image Pyramid—0
Crowd Counting by Self-supervised Transfer Colorization Learning and Global Prior Classification—0
Crowd Counting Considering Network Flow Constraints in Videos—0
Crowd Counting in Harsh Weather using Image Denoising with Pix2Pix GANs—0
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