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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
MRCNet: Crowd Counting and Density Map Estimation in Aerial and Ground ImageryCode0
In-field grape berries counting for yield estimation using dilated CNNs—0
Count-guided Weakly Supervised Localization Based on Density Map—0
Toward Understanding Crowd Mobility in Smart Cities through the Internet of Things—0
Improving the Learning of Multi-column Convolutional Neural Network for Crowd Counting—0
Learning Spatial Awareness to Improve Crowd Counting—0
Perspective-Guided Convolution Networks for Crowd CountingCode0
Crowd Counting on Images with Scale Variation and Isolated ClustersCode0
Multi-Level Bottom-Top and Top-Bottom Feature Fusion for Crowd Counting—0
Robust Regression via Deep Negative Correlation Learning—0
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