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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 91–100 of 371 papers

TitleStatusHype
Crowd Scene Analysis using Deep Learning Techniques—0
Transformer-Based Dual-Optical Attention Fusion Crowd Head Point Counting and Localization NetworkCode0
A Short Overview of Multi-Modal Wi-Fi Sensing—0
Adept: Annotation-Denoising Auxiliary Tasks with Discrete Cosine Transform Map and Keypoint for Human-Centric Pretraining—0
ProgRoCC: A Progressive Approach to Rough Crowd Counting—0
Taste More, Taste Better: Diverse Data and Strong Model Boost Semi-Supervised Crowd CountingCode0
L2HCount:Generalizing Crowd Counting from Low to High Crowd Density via Density Simulation—0
Consistent-Point: Consistent Pseudo-Points for Semi-Supervised Crowd Counting and Localization—0
EHNet: An Efficient Hybrid Network for Crowd Counting and Localization—0
Video Individual Counting for Moving Drones—0
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