{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,3,26]],"date-time":"2025-03-26T06:37:10Z","timestamp":1742971030144,"version":"3.40.3"},"publisher-location":"Singapore","reference-count":20,"publisher":"Springer Nature Singapore","isbn-type":[{"type":"print","value":"9789819784981"},{"type":"electronic","value":"9789819784998"}],"license":[{"start":{"date-parts":[[2024,10,19]],"date-time":"2024-10-19T00:00:00Z","timestamp":1729296000000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"},{"start":{"date-parts":[[2024,10,19]],"date-time":"2024-10-19T00:00:00Z","timestamp":1729296000000},"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\/978-981-97-8499-8_36","type":"book-chapter","created":{"date-parts":[[2024,10,18]],"date-time":"2024-10-18T14:03:02Z","timestamp":1729260182000},"page":"523-536","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":0,"title":["Unsupervised Person Re-ID Based on\u00a0Nonlinear Asymmetric Metric Learning"],"prefix":"10.1007","author":[{"given":"Yue","family":"Liu","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Guizhen","family":"Chen","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Yushan","family":"Chen","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Guixia","family":"Fu","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Guofeng","family":"Zou","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"297","published-online":{"date-parts":[[2024,10,19]]},"reference":[{"key":"36_CR1","doi-asserted-by":"crossref","unstructured":"Ali, T.F., Chaudhuri, S.: Cross-view kernel similarity metric learning using pairwise constraints for person re-identification. In: Proceedings of the Twelfth Indian Conference on Computer Vision, Graphics and Image Processing, pp.\u00a01\u20139 (2021)","DOI":"10.1145\/3490035.3490264"},{"issue":"17","key":"36_CR2","doi-asserted-by":"publisher","first-page":"24081","DOI":"10.1007\/s11042-022-12728-z","volume":"81","author":"Z Baohua","year":"2022","unstructured":"Baohua, Z., Siyu, Z., Yufeng, Z., Xiaoqi, L., Yu, G., Jianjun, L., Xin, L.: A novel unsupervised person re-identification algorithm based on soft multi-label and compound attention model. Multimed. Tools Appl. 81(17), 24081\u201324098 (2022)","journal-title":"Multimed. Tools Appl."},{"key":"36_CR3","doi-asserted-by":"publisher","DOI":"10.1016\/j.engappai.2023.106761","volume":"125","author":"G Chen","year":"2023","unstructured":"Chen, G., Zou, G., Liu, Y., Zhang, X., Fu, G.: Few-shot person re-identification based on feature set augmentation and metric fusion. Eng. Appl. Artif. Intell. 125, 106761 (2023)","journal-title":"Eng. Appl. Artif. Intell."},{"issue":"8","key":"36_CR4","doi-asserted-by":"publisher","first-page":"1661","DOI":"10.1109\/TCSVT.2016.2515309","volume":"27","author":"YC Chen","year":"2016","unstructured":"Chen, Y.C., Zheng, W.S., Lai, J.H., Yuen, P.C.: An asymmetric distance model for cross-view feature mapping in person reidentification. IEEE Trans. Circuits Syst. Video Technol. 27(8), 1661\u20131675 (2016)","journal-title":"IEEE Trans. Circuits Syst. Video Technol."},{"key":"36_CR5","doi-asserted-by":"crossref","unstructured":"He, W.X., Chen, Y.C., Lai, J.H.: Cross-view transformation based sparse reconstruction for person re-identification. In: 2016 23rd International Conference on Pattern Recognition (ICPR), pp. 3410\u20133415. IEEE (2016)","DOI":"10.1109\/ICPR.2016.7900161"},{"key":"36_CR6","unstructured":"Kodirov, E., Xiang, T., Gong, S.: Dictionary learning with iterative laplacian regularisation for unsupervised person re-identification. In: BMVC, vol.\u00a03, p.\u00a08 (2015)"},{"key":"36_CR7","doi-asserted-by":"crossref","unstructured":"Koestinger, M., Hirzer, M., Wohlhart, P., Roth, P.M., Bischof, H.: Large scale metric learning from equivalence constraints. In: 2012 IEEE Conference on Computer Vision and Pattern Recognition, pp. 2288\u20132295. IEEE (2012)","DOI":"10.1109\/CVPR.2012.6247939"},{"key":"36_CR8","unstructured":"Lee, H., Ekanadham, C., Ng, A.: Sparse deep belief net model for visual area v2. Adv. Neural Inf. Process. Syst. 20 (2007)"},{"issue":"7","key":"36_CR9","doi-asserted-by":"publisher","first-page":"1770","DOI":"10.1109\/TPAMI.2019.2903058","volume":"42","author":"M Li","year":"2019","unstructured":"Li, M., Zhu, X., Gong, S.: Unsupervised tracklet person re-identification. IEEE Trans. Pattern Anal. Mach. Intell. 42(7), 1770\u20131782 (2019)","journal-title":"IEEE Trans. Pattern Anal. Mach. Intell."},{"key":"36_CR10","doi-asserted-by":"crossref","unstructured":"Liao, S., Hu, Y., Zhu, X., Li, S.Z.: Person re-identification by local maximal occurrence representation and metric learning. In: Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, pp. 2197\u20132206 (2015)","DOI":"10.1109\/CVPR.2015.7298832"},{"issue":"23","key":"36_CR11","doi-asserted-by":"publisher","first-page":"28879","DOI":"10.1007\/s10489-023-05067-5","volume":"53","author":"Y Liu","year":"2023","unstructured":"Liu, Y., Zou, G., Chen, G., Gao, M., Yin, L.: Unsupervised person re-identification based on distribution regularization constrained asymmetric metric learning. Appl. Intell. 53(23), 28879\u201328894 (2023)","journal-title":"Appl. Intell."},{"issue":"2","key":"36_CR12","doi-asserted-by":"publisher","first-page":"589","DOI":"10.1109\/TIP.2018.2870941","volume":"28","author":"B Nguyen","year":"2018","unstructured":"Nguyen, B., De Baets, B.: Kernel distance metric learning using pairwise constraints for person re-identification. IEEE Trans. Image Process. 28(2), 589\u2013600 (2018)","journal-title":"IEEE Trans. Image Process."},{"key":"36_CR13","doi-asserted-by":"crossref","unstructured":"Pedagadi, S., Orwell, J., Velastin, S., Boghossian, B.: Local fisher discriminant analysis for pedestrian re-identification. In: Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, pp. 3318\u20133325 (2013)","DOI":"10.1109\/CVPR.2013.426"},{"key":"36_CR14","doi-asserted-by":"crossref","unstructured":"Prates, R., Oliveira, M., Schwartz, W.R.: Kernel partial least squares for person re-identification. In: 2016 13th IEEE International Conference on Advanced Video and Signal Based Surveillance (AVSS), pp. 249\u2013255. IEEE (2016)","DOI":"10.1109\/AVSS.2016.7738030"},{"key":"36_CR15","doi-asserted-by":"publisher","first-page":"609","DOI":"10.1016\/j.neucom.2015.05.064","volume":"168","author":"C Qin","year":"2015","unstructured":"Qin, C., Song, S., Huang, G., Zhu, L.: Unsupervised neighborhood component analysis for clustering. Neurocomputing 168, 609\u2013617 (2015)","journal-title":"Neurocomputing"},{"issue":"7","key":"36_CR16","doi-asserted-by":"publisher","first-page":"4404","DOI":"10.1109\/TCSVT.2021.3135274","volume":"32","author":"X Tao","year":"2021","unstructured":"Tao, X., Kong, J., Jiang, M., Liu, T.: Unsupervised domain adaptation by multi-loss gap minimization learning for person re-identification. IEEE Trans. Circuits Syst. Video Technol. 32(7), 4404\u20134416 (2021)","journal-title":"IEEE Trans. Circuits Syst. Video Technol."},{"key":"36_CR17","doi-asserted-by":"crossref","unstructured":"Wang, M., Lai, B., Huang, J., Gong, X., Hua, X.S.: Camera-aware proxies for unsupervised person re-identification. In: Proceedings of the AAAI Conference on Artificial Intelligence, vol.\u00a035, pp. 2764\u20132772 (2021)","DOI":"10.1609\/aaai.v35i4.16381"},{"key":"36_CR18","doi-asserted-by":"publisher","unstructured":"Xiong, F., Gou, M., Camps, O., Sznaier, M.: Person re-identification using kernel-based metric learning methods. In: Fleet, D., Pajdla, T., Schiele, B., Tuytelaars, T. (eds.) Computer Vision \u2013 ECCV 2014. ECCV 2014. Lecture Notes in Computer Science, vol. 8695. Springer, Cham (2014). https:\/\/doi.org\/10.1007\/978-3-319-10584-0_1","DOI":"10.1007\/978-3-319-10584-0_1"},{"key":"36_CR19","doi-asserted-by":"crossref","unstructured":"Yu, H.X., Wu, A., Zheng, W.S.: Cross-view asymmetric metric learning for unsupervised person re-identification. In: Proceedings of the IEEE International Conference on Computer Vision, pp. 994\u20131002 (2017)","DOI":"10.1109\/ICCV.2017.113"},{"key":"36_CR20","doi-asserted-by":"crossref","unstructured":"Zhang, X., Li, D., Wang, Z., Wang, J., Ding, E., Shi, J.Q., Zhang, Z., Wang, J.: Implicit sample extension for unsupervised person re-identification. In: Proceedings of the IEEE\/CVF Conference on Computer Vision and Pattern Recognition, pp. 7369\u20137378 (2022)","DOI":"10.1109\/CVPR52688.2022.00722"}],"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\/978-981-97-8499-8_36","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2024,10,18]],"date-time":"2024-10-18T14:16:23Z","timestamp":1729260983000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/978-981-97-8499-8_36"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2024,10,19]]},"ISBN":["9789819784981","9789819784998"],"references-count":20,"URL":"https:\/\/doi.org\/10.1007\/978-981-97-8499-8_36","relation":{},"ISSN":["0302-9743","1611-3349"],"issn-type":[{"type":"print","value":"0302-9743"},{"type":"electronic","value":"1611-3349"}],"subject":[],"published":{"date-parts":[[2024,10,19]]},"assertion":[{"value":"19 October 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"}}]}}