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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 301–310 of 371 papers

TitleStatusHype
Depth Information Guided Crowd Counting for Complex Crowd Scenes—0
Diffusion-based Data Augmentation for Object Counting Problems—0
Direct Measure Matching for Crowd Counting—0
Divide and Grow: Capturing Huge Diversity in Crowd Images with Incrementally Growing CNN—0
Domain-adaptive Crowd Counting via High-quality Image Translation and Density Reconstruction—0
DroneNet: Crowd Density Estimation using Self-ONNs for Drones—0
EHNet: An Efficient Hybrid Network for Crowd Counting and Localization—0
Embodied Crowd Counting—0
Enhanced 3D convolutional networks for crowd counting—0
Enhanced Information Fusion Network for Crowd Counting—0
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