CN108573496B - Multi-target tracking method based on LSTM network and deep reinforcement learning - Google Patents
Multi-target tracking method based on LSTM network and deep reinforcement learning Download PDFInfo
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Families Citing this family (12)
Publication number | Priority date | Publication date | Assignee | Title |
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CN109360226B (en) * | 2018-10-17 | 2021-09-24 | 武汉大学 | Multi-target tracking method based on time series multi-feature fusion |
CN109685100B (en) * | 2018-11-12 | 2024-05-10 | 平安科技(深圳)有限公司 | Character recognition method, server and computer readable storage medium |
CN109682392B (en) * | 2018-12-28 | 2020-09-01 | 山东大学 | Visual navigation method and system based on deep reinforcement learning |
CN109816701B (en) * | 2019-01-17 | 2021-07-27 | 北京市商汤科技开发有限公司 | Target tracking method and device and storage medium |
CN110544268B (en) * | 2019-07-29 | 2023-03-24 | 燕山大学 | Multi-target tracking method based on structured light and SiamMask network |
CN111127513B (en) * | 2019-12-02 | 2024-03-15 | 北京交通大学 | Multi-target tracking method |
CN111027505B (en) * | 2019-12-19 | 2022-12-23 | 吉林大学 | Hierarchical multi-target tracking method based on significance detection |
CN111354023A (en) * | 2020-03-09 | 2020-06-30 | 中振同辂(江苏)机器人有限公司 | Camera-based visual multi-target tracking method |
CN112053385B (en) * | 2020-08-28 | 2023-06-02 | 西安电子科技大学 | Remote sensing video shielding target tracking method based on deep reinforcement learning |
CN112381021B (en) * | 2020-11-20 | 2022-07-12 | 安徽一视科技有限公司 | Personnel detection counting method based on deep learning |
CN113762231B (en) * | 2021-11-10 | 2022-03-22 | 中电科新型智慧城市研究院有限公司 | End-to-end multi-pedestrian posture tracking method and device and electronic equipment |
CN117788511B (en) * | 2023-12-26 | 2024-06-25 | 兰州理工大学 | Multi-expansion target tracking method based on deep neural network |
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CN106022239A (en) * | 2016-05-13 | 2016-10-12 | 电子科技大学 | Multi-target tracking method based on recurrent neural network |
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US10242266B2 (en) * | 2016-03-02 | 2019-03-26 | Mitsubishi Electric Research Laboratories, Inc. | Method and system for detecting actions in videos |
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Title |
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Deep Reinforcement Learning for Visual Object Tracking in Videos;Da Zhang等;《https://arxiv.org/pdf/1701.08936v2.pdf》;20170413;第1-5页 * |
Online Multi-Target Tracking Using Recurrent Neural Networks;Anton Milan等;《https://arxiv.org/pdf/1604.03635.pdf》;20161210;第1-7页 * |
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Application publication date: 20180925 Assignee: Huaian xiaobaihu coating Engineering Co.,Ltd. Assignor: HUAIYIN INSTITUTE OF TECHNOLOGY Contract record no.: X2020980006698 Denomination of invention: Multi target tracking method based on LSTM network and deep reinforcement learning Granted publication date: 20200811 License type: Common License Record date: 20201010 |
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