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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 271–280 of 371 papers

TitleStatusHype
Crowd Counting on Heavily Compressed Images with Curriculum Pre-Training—0
Crowd Counting Through Walls Using WiFi—0
Crowd Counting using Deep Recurrent Spatial-Aware Network—0
Crowd Counting Using Scale-Aware Attention Networks—0
Crowd Counting via Hierarchical Scale Recalibration Network—0
Crowd Counting via Weighted VLAD on Dense Attribute Feature Maps—0
Crowd counting with crowd attention convolutional neural network—0
Crowd Counting with Decomposed Uncertainty—0
Crowd Counting with Deep Structured Scale Integration Network—0
Crowd Counting with Density Adaption Networks—0
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