{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,3,7]],"date-time":"2026-03-07T19:03:18Z","timestamp":1772910198557,"version":"3.50.1"},"publisher-location":"Singapore","reference-count":23,"publisher":"Springer Nature Singapore","isbn-type":[{"value":"9789819788576","type":"print"},{"value":"9789819788583","type":"electronic"}],"license":[{"start":{"date-parts":[[2024,11,3]],"date-time":"2024-11-03T00:00:00Z","timestamp":1730592000000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"},{"start":{"date-parts":[[2024,11,3]],"date-time":"2024-11-03T00:00:00Z","timestamp":1730592000000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2025]]},"DOI":"10.1007\/978-981-97-8858-3_27","type":"book-chapter","created":{"date-parts":[[2024,11,2]],"date-time":"2024-11-02T22:03:07Z","timestamp":1730584987000},"page":"390-403","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":1,"title":["PLRUT: Pseudo Label and Re-detection Boosted Unsupervised Tracking of Unmanned Aerial Vehicle Objects"],"prefix":"10.1007","author":[{"given":"Jun","family":"Wang","sequence":"first","affiliation":[]},{"given":"Huadong","family":"Dai","sequence":"additional","affiliation":[]},{"given":"Bo","family":"Zhang","sequence":"additional","affiliation":[]},{"given":"Shan","family":"Qin","sequence":"additional","affiliation":[]},{"given":"Jian","family":"Zhao","sequence":"additional","affiliation":[]},{"given":"Zhihao","family":"Zhang","sequence":"additional","affiliation":[]}],"member":"297","published-online":{"date-parts":[[2024,11,3]]},"reference":[{"key":"27_CR1","doi-asserted-by":"crossref","unstructured":"Ashraf, M.W., Sultani, W., Shah, M.: Dogfight: detecting drones from drones videos. In: Proceedings of the IEEE\/CVF Conference on Computer Vision and Pattern Recognition, pp. 7067\u20137076 (2021)","DOI":"10.1109\/CVPR46437.2021.00699"},{"key":"27_CR2","doi-asserted-by":"crossref","unstructured":"Bhat, G., Danelljan, M., Gool, L.V., Timofte, R.: Learning discriminative model prediction for tracking. In: ICCV, pp. 6182\u20136191 (2019)","DOI":"10.1109\/ICCV.2019.00628"},{"key":"27_CR3","doi-asserted-by":"crossref","unstructured":"Bhat, G., Lawin, F.J., Danelljan, M., Robinson, A., Felsberg, M., Van\u00a0Gool, L., Timofte, R.: Learning what to learn for video object segmentation. In: Computer Vision\u2013ECCV 2020: 16th European Conference, Glasgow, UK, August 23\u201328, 2020, Proceedings, Part II 16, pp. 777\u2013794. Springer (2020)","DOI":"10.1007\/978-3-030-58536-5_46"},{"key":"27_CR4","unstructured":"Danelljan, M., Bhat, G.: Pytracking: Visual tracking library based on pytorch. https:\/\/github.com\/visionml\/pytracking (2019)"},{"key":"27_CR5","doi-asserted-by":"crossref","unstructured":"Danelljan, M., Bhat, G., Khan, F.S., Felsberg, M.: Atom: Accurate tracking by overlap maximization. In: Proceedings of the IEEE\/CVF Conference on Computer Vision and Pattern Recognition, pp. 4660\u20134669 (2019)","DOI":"10.1109\/CVPR.2019.00479"},{"key":"27_CR6","doi-asserted-by":"crossref","unstructured":"Danelljan, M., Bhat, G., Shahbaz\u00a0Khan, F., Felsberg, M.: Eco: Efficient convolution operators for tracking. In: Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, pp. 6638\u20136646 (2017)","DOI":"10.1109\/CVPR.2017.733"},{"key":"27_CR7","doi-asserted-by":"crossref","unstructured":"Danelljan, M., Gool, L.V., Timofte, R.: Probabilistic regression for visual tracking. In: Proceedings of the IEEE\/CVF Conference on Computer Vision and Pattern Recognition, pp. 7183\u20137192 (2020)","DOI":"10.1109\/CVPR42600.2020.00721"},{"issue":"5","key":"27_CR8","doi-asserted-by":"publisher","first-page":"2415","DOI":"10.1007\/s11760-022-02458-y","volume":"17","author":"\u0130 Deliba\u015fo\u011flu","year":"2023","unstructured":"Deliba\u015fo\u011flu, \u0130: Moving object detection method with motion regions tracking in background subtraction. SIViP 17(5), 2415\u20132423 (2023)","journal-title":"SIViP"},{"key":"27_CR9","doi-asserted-by":"crossref","unstructured":"Kirillov, A., Mintun, E., Ravi, N., Mao, H., Rolland, C., Gustafson, L., Xiao, T., Whitehead, S., Berg, A.C., Lo, W.Y., et\u00a0al.: Segment anything. In: Proceedings of the IEEE\/CVF International Conference on Computer Vision, pp. 4015\u20134026 (2023)","DOI":"10.1109\/ICCV51070.2023.00371"},{"key":"27_CR10","doi-asserted-by":"crossref","unstructured":"Li, J., Ye, D.H., Chung, T., Kolsch, M., Wachs, J., Bouman, C.: Multi-target detection and tracking from a single camera in unmanned aerial vehicles (UAVs). In: 2016 IEEE\/RSJ International Conference on Intelligent Robots and Systems (IROS), pp. 4992\u20134997. IEEE (2016)","DOI":"10.1109\/IROS.2016.7759733"},{"issue":"3","key":"27_CR11","doi-asserted-by":"publisher","first-page":"1519","DOI":"10.1109\/TETC.2021.3104555","volume":"10","author":"J Li","year":"2021","unstructured":"Li, J., Ye, D.H., Kolsch, M., Wachs, J.P., Bouman, C.A.: Fast and robust UAV to UAV detection and tracking from video. IEEE Trans. Emerg. Top. Comput. 10(3), 1519\u20131531 (2021)","journal-title":"IEEE Trans. Emerg. Top. Comput."},{"key":"27_CR12","doi-asserted-by":"crossref","unstructured":"Li, X., Pei, W., Wang, Y., He, Z., Lu, H., Yang, M.H.: Self-supervised tracking via target-aware data synthesis. IEEE Trans. Neural Netw. Learn. Syst. (2023)","DOI":"10.1109\/TNNLS.2022.3231537"},{"key":"27_CR13","doi-asserted-by":"crossref","unstructured":"Mayer, C., Danelljan, M., Bhat, G., Paul, M., Paudel, D.P., Yu, F., Van\u00a0Gool, L.: Transforming model prediction for tracking. In: Proceedings of the IEEE\/CVF Conference On Computer Vision And Pattern Recognition, pp. 8731\u20138740 (2022)","DOI":"10.1109\/CVPR52688.2022.00853"},{"key":"27_CR14","doi-asserted-by":"crossref","unstructured":"Sangam, T., Dave, I.R., Sultani, W., Shah, M.: Transvisdrone: Spatio-temporal transformer for vision-based drone-to-drone detection in aerial videos. In: 2023 IEEE International Conference on Robotics and Automation (ICRA), pp. 6006\u20136013. IEEE (2023)","DOI":"10.1109\/ICRA48891.2023.10161433"},{"key":"27_CR15","doi-asserted-by":"crossref","unstructured":"Saribas, H., Uzun, B., Benligiray, B., Eker, O., Cevikalp, H.: A hybrid method for tracking of objects by uavs. In: Proceedings of the IEEE\/CVF Conference on Computer Vision and Pattern Recognition Workshops, pp. 0 (2019)","DOI":"10.1109\/CVPRW.2019.00082"},{"key":"27_CR16","doi-asserted-by":"crossref","unstructured":"Shen, Q., Qiao, L., Guo, J., Li, P., Li, X., Li, B., Feng, W., Gan, W., Wu, W., Ouyang, W.: Unsupervised learning of accurate siamese tracking. In: Proceedings of the IEEE\/CVF Conference on Computer Vision and Pattern Recognition, pp. 8101\u20138110 (2022)","DOI":"10.1109\/CVPR52688.2022.00793"},{"key":"27_CR17","doi-asserted-by":"crossref","unstructured":"Sio, C.H., Ma, Y.J., Shuai, H.H., Chen, J.C., Cheng, W.H.: S2siamfc: self-supervised fully convolutional siamese network for visual tracking. In: Proceedings of the 28th ACM International Conference on Multimedia. pp. 1948\u20131957 (2020)","DOI":"10.1145\/3394171.3413611"},{"key":"27_CR18","doi-asserted-by":"crossref","unstructured":"Wang, N., Song, Y., Ma, C., Zhou, W., Liu, W., Li, H.: Unsupervised deep tracking. In: The IEEE Conference on Computer Vision and Pattern Recognition (CVPR) (2019)","DOI":"10.1109\/CVPR.2019.00140"},{"key":"27_CR19","unstructured":"Wang, Q., Gao, J., Xing, J., Zhang, M., Hu, W.: Dcfnet: discriminant correlation filters network for visual tracking (2017). arXiv:1704.04057"},{"key":"27_CR20","doi-asserted-by":"publisher","DOI":"10.1016\/j.knosys.2022.110197","volume":"261","author":"Y Wang","year":"2023","unstructured":"Wang, Y., Huang, Z., Lagani\u00e8re, R., Zhang, H., Ding, L.: A UAV to UAV tracking benchmark. Knowl.-Based Syst. 261, 110197 (2023)","journal-title":"Knowl.-Based Syst."},{"key":"27_CR21","doi-asserted-by":"crossref","unstructured":"Wu, Q., Wan, J., Chan, A.B.: Progressive unsupervised learning for visual object tracking. In: Proceedings of the IEEE\/CVF Conference on Computer Vision and Pattern Recognition, pp. 2993\u20133002 (2021)","DOI":"10.1109\/CVPR46437.2021.00301"},{"key":"27_CR22","doi-asserted-by":"publisher","first-page":"1","DOI":"10.2352\/ISSN.2470-1173.2018.10.IMAWM-466","volume":"30","author":"DH Ye","year":"2018","unstructured":"Ye, D.H., Li, J., Chen, Q., Wachs, J., Bouman, C.: Deep learning for moving object detection and tracking from a single camera in unmanned aerial vehicles (UAVs). Electron. Imaging 30, 1\u20136 (2018)","journal-title":"Electron. Imaging"},{"key":"27_CR23","doi-asserted-by":"crossref","unstructured":"Zheng, J., Ma, C., Peng, H., Yang, X.: Learning to track objects from unlabeled videos. In: Proceedings of the IEEE\/CVF International Conference on Computer Vision, pp. 13546\u201313555 (2021)","DOI":"10.1109\/ICCV48922.2021.01329"}],"container-title":["Lecture Notes in Computer Science","Pattern Recognition and Computer Vision"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/978-981-97-8858-3_27","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,2,13]],"date-time":"2025-02-13T17:28:49Z","timestamp":1739467729000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/978-981-97-8858-3_27"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2024,11,3]]},"ISBN":["9789819788576","9789819788583"],"references-count":23,"URL":"https:\/\/doi.org\/10.1007\/978-981-97-8858-3_27","relation":{},"ISSN":["0302-9743","1611-3349"],"issn-type":[{"value":"0302-9743","type":"print"},{"value":"1611-3349","type":"electronic"}],"subject":[],"published":{"date-parts":[[2024,11,3]]},"assertion":[{"value":"3 November 2024","order":1,"name":"first_online","label":"First Online","group":{"name":"ChapterHistory","label":"Chapter History"}},{"value":"PRCV","order":1,"name":"conference_acronym","label":"Conference Acronym","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Chinese Conference on Pattern Recognition and Computer Vision  (PRCV)","order":2,"name":"conference_name","label":"Conference Name","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Urumqi","order":3,"name":"conference_city","label":"Conference City","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"China","order":4,"name":"conference_country","label":"Conference Country","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"2024","order":5,"name":"conference_year","label":"Conference Year","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"18 October 2024","order":7,"name":"conference_start_date","label":"Conference Start Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"20 October 2024","order":8,"name":"conference_end_date","label":"Conference End Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"7","order":9,"name":"conference_number","label":"Conference Number","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"ccprcv2024","order":10,"name":"conference_id","label":"Conference ID","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"http:\/\/2024.prcv.cn\/","order":11,"name":"conference_url","label":"Conference URL","group":{"name":"ConferenceInfo","label":"Conference Information"}}]}}