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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 361–370 of 371 papers

TitleStatusHype
Crowd Counting via Weighted VLAD on Dense Attribute Feature Maps—0
Scene Invariant Crowd Segmentation and Counting Using Scale-Normalized Histogram of Moving Gradients (HoMG)—0
Single-Image Crowd Counting via Multi-Column Convolutional Neural NetworkCode0
Bayesian Model Adaptation for Crowd Counts—0
SegNet: A Deep Convolutional Encoder-Decoder Architecture for Image SegmentationCode1
People Counting in High Density Crowds from Still Images—0
Cross-Scene Crowd Counting via Deep Convolutional Neural Networks—0
Parametric Regression on the Grassmannian—0
Multi-source Multi-scale Counting in Extremely Dense Crowd Images—0
Cumulative Attribute Space for Age and Crowd Density Estimation—0
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