Human trajectory prediction in crowded scene using social-affinity Long Short-Term Memory-Reference-Cited by-同舟云学术

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Human trajectory prediction in crowded scene using social-affinity Long Short-Term Memory

Published:2019-09 Issue: Volume:93 Page:273-282
ISSN:0031-3203
Container-title:Pattern Recognition
language:en
Short-container-title:Pattern Recognition

Author:

Pei Zhao,Qi Xiaoning,Zhang Yanning,Ma Miao,Yang Yee-Hong

Funder

China Scholarship Council

Natural Sciences and Engineering Research Council of Canada

University of Alberta

Fundamental Research Funds for the Central Universities

National Natural Science Foundation of China

Publisher

Elsevier BV

Subject

Artificial Intelligence,Computer Vision and Pattern Recognition,Signal Processing,Software

Reference45 articles.

1. People tracking with human motion predictions from social forces;Luber,2010

2. Detecting abnormal crowd behaviors based on the div-curl characteristics of flow fields;Chen;Pattern Recognit.,2019

3. Social network model for crowd anomaly detection and localization;Chaker;Pattern Recognit.,2017

4. A novel multi-object detection method in complex scene using synthetic aperture imaging;Pei;Pattern Recognit.,2012

5. Deep visual tracking: review and experimental comparison;Li;Pattern Recognit.,2018

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