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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 321–330 of 371 papers

TitleStatusHype
Iterative Crowd Counting—0
Divide and Grow: Capturing Huge Diversity in Crowd Images with Incrementally Growing CNN—0
Top-Down Feedback for Crowd Counting Convolutional Neural Network—0
Revisiting Perspective Information for Efficient Crowd Counting—0
Crowd Counting using Deep Recurrent Spatial-Aware Network—0
Attention to Head Locations for Crowd Counting—0
Crowd Counting with Density Adaption Networks—0
Crowd Counting via Adversarial Cross-Scale Consistency PursuitCode0
Crowd Counting With Deep Negative Correlation LearningCode0
Global Sum Pooling: A Generalization Trick for Object Counting with Small Datasets of Large Images—0
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