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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 281–290 of 371 papers

TitleStatusHype
HA-CCN: Hierarchical Attention-based Crowd Counting Network—0
Locality-constrained Spatial Transformer Network for Video Crowd CountingCode0
C^3 Framework: An Open-source PyTorch Code for Crowd CountingCode0
Fast Video Crowd Counting with a Temporal Aware Network—0
Inverse Attention Guided Deep Crowd Counting Network—0
Dense Scale Network for Crowd CountingCode0
Locate, Size and Count: Accurately Resolving People in Dense Crowds via DetectionCode0
Content-aware Density Map for Crowd Counting and Density Estimation—0
Recurrent Attentive Zooming for Joint Crowd Counting and Precise Localization—0
Crowd Counting and Density Estimation by Trellis Encoder-Decoder Networks—0
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