Self-attention Guidance Based Crowd Localization and Counting

Zhouzhou Ma; Guanghua Gu; Wenrui Zhao

doi:10.1007/s11633-023-1428-6

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JOURNAL ARTICLE

Self-attention Guidance Based Crowd Localization and Counting

Zhouzhou Ma Guanghua Gu Wenrui Zhao

Year: 2024 Journal: Machine Intelligence Research Vol: 21 (5)Pages: 966-982 Publisher: Springer Science+Business Media

DOI: 10.1007/s11633-023-1428-6

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Keywords:

Crowds Computer science Header Artificial intelligence Minimum bounding box Pattern recognition (psychology) Convolutional neural network Feature (linguistics) Feature extraction Pyramid (geometry) Data mining Set (abstract data type) Computer vision Image (mathematics) Mathematics

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Video Surveillance and Tracking Methods

Physical Sciences → Computer Science → Computer Vision and Pattern Recognition

Anomaly Detection Techniques and Applications

Physical Sciences → Computer Science → Artificial Intelligence

Fire Detection and Safety Systems

Physical Sciences → Engineering → Safety, Risk, Reliability and Quality

Self-attention Guidance Based Crowd Localization and Counting

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