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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

Showing 321330 of 371 papers

TitleStatusHype
Class-Agnostic CountingCode0
Car Object Counting and Position Estimation via Extension of the CLIP-EBC FrameworkCode0
Spatiotemporal Dilated Convolution with Uncertain Matching for Video-based Crowd EstimationCode0
An Improved Normed-Deformable Convolution for Crowd CountingCode0
ANTHROPOS-V: benchmarking the novel task of Crowd Volume EstimationCode0
Residual Regression With Semantic Prior for Crowd CountingCode0
ResnetCrowd: A Residual Deep Learning Architecture for Crowd Counting, Violent Behaviour Detection and Crowd Density Level ClassificationCode0
Improved Knowledge Distillation for Crowd Counting on IoT DeviceCode0
Leveraging Unlabeled Data for Crowd Counting by Learning to RankCode0
Locality-constrained Spatial Transformer Network for Video Crowd CountingCode0
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