Non-probability sampling network based on anomaly pedestrian trajectory discrimination for pedestrian trajectory prediction

Quankai Liu; Haifeng Sang; Jinyu Wang; Wangxing Chen; Yulong Liu

doi:10.1016/j.imavis.2024.104954

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Non-probability sampling network based on anomaly pedestrian trajectory discrimination for pedestrian trajectory prediction

Quankai Liu Haifeng Sang Jinyu Wang Wangxing Chen Yulong Liu

Year: 2024 Journal: Image and Vision Computing Vol: 143 Pages: 104954-104954 Publisher: Elsevier BV

DOI: 10.1016/j.imavis.2024.104954

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Keywords:

Trajectory Computer science Pedestrian Artificial intelligence Computer vision Anomaly detection Optical flow Pattern recognition (psychology) Image (mathematics) Geography

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Autonomous Vehicle Technology and Safety

Physical Sciences → Engineering → Automotive Engineering

Anomaly Detection Techniques and Applications

Physical Sciences → Computer Science → Artificial Intelligence

Video Surveillance and Tracking Methods

Physical Sciences → Computer Science → Computer Vision and Pattern Recognition

Non-probability sampling network based on anomaly pedestrian trajectory discrimination for pedestrian trajectory prediction

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