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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 351360 of 371 papers

TitleStatusHype
SYRAC: Synthesize, Rank, and CountCode0
TAFNet: A Three-Stream Adaptive Fusion Network for RGB-T Crowd CountingCode0
Multi-Stream Networks and Ground-Truth Generation for Crowd CountingCode0
Taste More, Taste Better: Diverse Data and Strong Model Boost Semi-Supervised Crowd CountingCode0
Discrete-Constrained Regression for Local Counting ModelsCode0
Density-based clustering with fully-convolutional networks for crowd flow detection from dronesCode0
Transformer-Based Dual-Optical Attention Fusion Crowd Head Point Counting and Localization NetworkCode0
ADCrowdNet: An Attention-injective Deformable Convolutional Network for Crowd UnderstandingCode0
DenseTrack: Drone-based Crowd Tracking via Density-aware Motion-appearance SynergyCode0
Analysis of the Effect of Low-Overhead Lossy Image Compression on the Performance of Visual Crowd Counting for Smart City ApplicationsCode0
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