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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 251–260 of 371 papers

TitleStatusHype
Composition Loss for Counting, Density Map Estimation and Localization in Dense Crowds—0
Consistent-Point: Consistent Pseudo-Points for Semi-Supervised Crowd Counting and Localization—0
Content-aware Density Map for Crowd Counting and Density Estimation—0
Count-guided Weakly Supervised Localization Based on Density Map—0
Counting and Segmenting Sorghum Heads—0
Counting Crowds in Bad Weather—0
Counting in the 2020s: Binned Representations and Inclusive Performance Measures for Deep Crowd Counting Approaches—0
Counting Like Human: Anthropoid Crowd Counting on Modeling the Similarity of Objects—0
Counting Varying Density Crowds Through Density Guided Adaptive Selection CNN and Transformer Estimation—0
Crossing the Line: Crowd Counting by Integer Programming with Local Features—0
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