Pedestrian Tracking Algorithm for Dense Crowd based on Deep Learning-Reference-Cited by-同舟云学术

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Pedestrian Tracking Algorithm for Dense Crowd based on Deep Learning

Published:2019-11 Issue: Volume: Page:
ISSN:
Container-title:2019 6th International Conference on Systems and Informatics (ICSAI)
language:
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Author:

Yang Ge,Chen Zihao

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/8974456/9010069/09010144.pdf?arnumber=9010144

Cited by 7 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Self-attention Guidance Based Crowd Localization and Counting;Machine Intelligence Research;2024-02-22

2. Research on Pedestrian Crossing Intention Prediction Based on Deep Learning;Proceedings of the 2023 7th International Conference on Electronic Information Technology and Computer Engineering;2023-10-20

3. A Multi-Pedestrian Tracking Algorithm for Dense Scenes Based on an Attention Mechanism and Dual Data Association;Applied Sciences;2022-09-24

4. Multi-pedestrian Tracking and Person Re-identification;Proceedings of the 13th International Conference on Soft Computing and Pattern Recognition (SoCPaR 2021);2022

5. SL-BiLSTM: A Signal-Based Bidirectional LSTM Network for Over-the-Horizon Target Localization;Mathematical Problems in Engineering;2021-07-13

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