CN111415373A - Target tracking and segmenting method, system and medium based on twin convolutional network - Google Patents
Target tracking and segmenting method, system and medium based on twin convolutional network Download PDFInfo
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CN202010202511.7A CN111415373A (en) | 2020-03-20 | 2020-03-20 | Target tracking and segmenting method, system and medium based on twin convolutional network |
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Cited By (5)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN112347852A (en) * | 2020-10-10 | 2021-02-09 | 上海交通大学 | Target tracking and semantic segmentation method and device for sports video and plug-in |
CN112949458A (en) * | 2021-02-26 | 2021-06-11 | 北京达佳互联信息技术有限公司 | Training method of target tracking segmentation model and target tracking segmentation method and device |
CN113177943A (en) * | 2021-06-29 | 2021-07-27 | 中南大学 | Cerebral apoplexy CT image segmentation method |
CN115063594A (en) * | 2022-08-19 | 2022-09-16 | 清驰(济南)智能科技有限公司 | Feature extraction method and device based on automatic driving |
CN117876428A (en) * | 2024-03-12 | 2024-04-12 | 金锐同创(北京)科技股份有限公司 | Target tracking method, device, computer equipment and medium based on image processing |
Citations (6)
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CN108665485A (en) * | 2018-04-16 | 2018-10-16 | 华中科技大学 | A kind of method for tracking target merged with twin convolutional network based on correlation filtering |
CN109191491A (en) * | 2018-08-03 | 2019-01-11 | 华中科技大学 | The method for tracking target and system of the twin network of full convolution based on multilayer feature fusion |
CN109409371A (en) * | 2017-08-18 | 2019-03-01 | 三星电子株式会社 | The system and method for semantic segmentation for image |
CN110188753A (en) * | 2019-05-21 | 2019-08-30 | 北京以萨技术股份有限公司 | One kind being based on dense connection convolutional neural networks target tracking algorism |
CN110276285A (en) * | 2019-06-13 | 2019-09-24 | 浙江工业大学 | A kind of shipping depth gauge intelligent identification Method in uncontrolled scene video |
CN110633632A (en) * | 2019-08-06 | 2019-12-31 | 厦门大学 | Weak supervision combined target detection and semantic segmentation method based on loop guidance |
-
2020
- 2020-03-20 CN CN202010202511.7A patent/CN111415373A/en active Pending
Patent Citations (6)
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CN109409371A (en) * | 2017-08-18 | 2019-03-01 | 三星电子株式会社 | The system and method for semantic segmentation for image |
CN108665485A (en) * | 2018-04-16 | 2018-10-16 | 华中科技大学 | A kind of method for tracking target merged with twin convolutional network based on correlation filtering |
CN109191491A (en) * | 2018-08-03 | 2019-01-11 | 华中科技大学 | The method for tracking target and system of the twin network of full convolution based on multilayer feature fusion |
CN110188753A (en) * | 2019-05-21 | 2019-08-30 | 北京以萨技术股份有限公司 | One kind being based on dense connection convolutional neural networks target tracking algorism |
CN110276285A (en) * | 2019-06-13 | 2019-09-24 | 浙江工业大学 | A kind of shipping depth gauge intelligent identification Method in uncontrolled scene video |
CN110633632A (en) * | 2019-08-06 | 2019-12-31 | 厦门大学 | Weak supervision combined target detection and semantic segmentation method based on loop guidance |
Non-Patent Citations (1)
Title |
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QIANG WANG ET AL: "Fast Online Object Tracking and Segmentation: A Unifying Approach", 《2019 IEEE/CVF CONFERENCE ON COMPUTER VISION AND PATTERN RECOGNITION (CVPR)》, pages 1328 * |
Cited By (9)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN112347852A (en) * | 2020-10-10 | 2021-02-09 | 上海交通大学 | Target tracking and semantic segmentation method and device for sports video and plug-in |
CN112347852B (en) * | 2020-10-10 | 2022-07-29 | 上海交通大学 | Target tracking and semantic segmentation method and device for sports video and plug-in |
CN112949458A (en) * | 2021-02-26 | 2021-06-11 | 北京达佳互联信息技术有限公司 | Training method of target tracking segmentation model and target tracking segmentation method and device |
CN113177943A (en) * | 2021-06-29 | 2021-07-27 | 中南大学 | Cerebral apoplexy CT image segmentation method |
CN113177943B (en) * | 2021-06-29 | 2021-09-07 | 中南大学 | Cerebral apoplexy CT image segmentation method |
CN115063594A (en) * | 2022-08-19 | 2022-09-16 | 清驰(济南)智能科技有限公司 | Feature extraction method and device based on automatic driving |
CN115063594B (en) * | 2022-08-19 | 2022-12-13 | 清驰(济南)智能科技有限公司 | Feature extraction method and device based on automatic driving |
CN117876428A (en) * | 2024-03-12 | 2024-04-12 | 金锐同创(北京)科技股份有限公司 | Target tracking method, device, computer equipment and medium based on image processing |
CN117876428B (en) * | 2024-03-12 | 2024-05-17 | 金锐同创(北京)科技股份有限公司 | Target tracking method, device, computer equipment and medium based on image processing |
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Address after: 266400 No. 77, Lingyan Road, LINGSHANWEI sub district office, Huangdao District, Qingdao City, Shandong Province Applicant after: Issa Technology Co.,Ltd. Applicant after: QINGDAO YISA DATA TECHNOLOGY Co.,Ltd. Address before: 266400 No. 77, Lingyan Road, LINGSHANWEI sub district office, Huangdao District, Qingdao City, Shandong Province Applicant before: Qingdao Issa Technology Co.,Ltd. Applicant before: QINGDAO YISA DATA TECHNOLOGY Co.,Ltd. Address after: 266400 No. 77, Lingyan Road, LINGSHANWEI sub district office, Huangdao District, Qingdao City, Shandong Province Applicant after: Qingdao Issa Technology Co.,Ltd. Applicant after: QINGDAO YISA DATA TECHNOLOGY Co.,Ltd. Address before: 100020 room 108, 1 / F, building 17, yard 6, Jingshun East Street, Chaoyang District, Beijing Applicant before: BEIJING YISA TECHNOLOGY Co.,Ltd. Applicant before: QINGDAO YISA DATA TECHNOLOGY Co.,Ltd. |