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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 331–340 of 371 papers

TitleStatusHype
Image Crowd Counting Using Convolutional Neural Network and Markov Random FieldCode0
Locate, Size and Count: Accurately Resolving People in Dense Crowds via DetectionCode0
Crowd counting via scale-adaptive convolutional neural networkCode0
Crowd Counting via Perspective-Guided Fractional-Dilation ConvolutionCode0
Flexible Heteroscedastic Count Regression with Deep Double Poisson NetworksCode0
Crowd Counting via Adversarial Cross-Scale Consistency PursuitCode0
Stacked Pooling: Improving Crowd Counting by Boosting Scale InvarianceCode0
Adaptive Scenario Discovery for Crowd CountingCode0
Crowd Counting on Images with Scale Variation and Isolated ClustersCode0
MRCNet: Crowd Counting and Density Map Estimation in Aerial and Ground ImageryCode0
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