{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,3,28]],"date-time":"2025-03-28T09:59:35Z","timestamp":1743155975213,"version":"3.40.3"},"publisher-location":"Singapore","reference-count":18,"publisher":"Springer Singapore","isbn-type":[{"type":"print","value":"9789811394089"},{"type":"electronic","value":"9789811394096"}],"license":[{"start":{"date-parts":[[2020,1,1]],"date-time":"2020-01-01T00:00:00Z","timestamp":1577836800000},"content-version":"tdm","delay-in-days":0,"URL":"http:\/\/www.springer.com\/tdm"},{"start":{"date-parts":[[2020,1,1]],"date-time":"2020-01-01T00:00:00Z","timestamp":1577836800000},"content-version":"vor","delay-in-days":0,"URL":"http:\/\/www.springer.com\/tdm"}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2020]]},"DOI":"10.1007\/978-981-13-9409-6_22","type":"book-chapter","created":{"date-parts":[[2020,4,4]],"date-time":"2020-04-04T05:14:18Z","timestamp":1585977258000},"page":"179-186","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":0,"title":["Global Deep Feature Representation for Person Re-Identification"],"prefix":"10.1007","author":[{"given":"Meixia","family":"Fu","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Songlin","family":"Sun","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Na","family":"Chen","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Xiaoyun","family":"Tong","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Xifang","family":"Wu","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Zhongjie","family":"Huang","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Kaili","family":"Ni","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"297","published-online":{"date-parts":[[2020,4,4]]},"reference":[{"issue":"4","key":"22_CR1","doi-asserted-by":"publisher","first-page":"270","DOI":"10.1016\/j.imavis.2014.02.001","volume":"32","author":"A Bedagkar-Gala","year":"2014","unstructured":"Bedagkar-Gala A, Shah SK (2014) A survey of approaches and trends in person re-identification. Image Vis Comput 32(4):270\u2013286","journal-title":"Image Vis Comput"},{"key":"22_CR2","unstructured":"Zheng L, Yang Y, Hauptmann AG (2016) Person re-identification: past, present and future. arXiv preprint arXiv:1610.02984"},{"key":"22_CR3","doi-asserted-by":"publisher","first-page":"50","DOI":"10.1016\/j.cviu.2017.12.002","volume":"167","author":"IB Barbosa","year":"2018","unstructured":"Barbosa IB, Cristani M, Caputo B et al (2018) Looking beyond appearances: synthetic training data for deep CNNS in re-identification. Comput Vis Image Underst 167:50\u201362","journal-title":"Comput Vis Image Underst"},{"key":"22_CR4","doi-asserted-by":"crossref","unstructured":"Zhao H, Tian M, Sun S et al (2017) Spindle net: person re-identification with human body region guided feature decomposition and fusion. In: Proceedings of the IEEE conference on computer vision and pattern recognition, pp 1077\u20131085","DOI":"10.1109\/CVPR.2017.103"},{"key":"22_CR5","doi-asserted-by":"crossref","unstructured":"Su C, Li J, Zhang S et al (2017) Pose-driven deep convolutional model for person re-identification. In: Proceedings of the IEEE international conference on computer vision, pp 3960\u20133969","DOI":"10.1109\/ICCV.2017.427"},{"key":"22_CR6","doi-asserted-by":"crossref","unstructured":"Zheng Z, Zheng L, Yang Y (2018) Pedestrian alignment network for large-scale person re-identification. IEEE Trans Circ Syst Video Technol","DOI":"10.1109\/TCSVT.2018.2873599"},{"key":"22_CR7","doi-asserted-by":"crossref","unstructured":"Wei L, Zhang S, Yao H et al (2017) Glad: global-local-alignment descriptor for pedestrian retrieval. In: Proceedings of the 2017 ACM on multimedia conference. ACM, pp 420\u2013428","DOI":"10.1145\/3123266.3123279"},{"key":"22_CR8","doi-asserted-by":"crossref","unstructured":"Szegedy C, Vanhoucke V, Ioffe S et al (2016) Rethinking the inception architecture for computer vision. In: Proceedings of the IEEE conference on computer vision and pattern recognition, pp 2818\u20132826","DOI":"10.1109\/CVPR.2016.308"},{"key":"22_CR9","doi-asserted-by":"crossref","unstructured":"He K, Zhang X, Ren S et al (2016) Deep residual learning for image recognition. In: Proceedings of the IEEE conference on computer vision and pattern recognition, pp 770\u2013778","DOI":"10.1109\/CVPR.2016.90"},{"key":"22_CR10","doi-asserted-by":"crossref","unstructured":"Huang G, Liu Z, Van Der Maaten L et al (2017) Densely connected convolutional networks. In: Proceedings of the IEEE conference on computer vision and pattern recognition, pp 4700\u20134708","DOI":"10.1109\/CVPR.2017.243"},{"issue":"1\u20132","key":"22_CR11","doi-asserted-by":"publisher","first-page":"91","DOI":"10.1016\/j.mcm.2010.07.022","volume":"53","author":"J Ye","year":"2011","unstructured":"Ye J (2011) Cosine similarity measures for intuitionistic fuzzy sets and their applications. Math Comput Model 53(1\u20132):91\u201397","journal-title":"Math Comput Model"},{"key":"22_CR12","doi-asserted-by":"crossref","unstructured":"Zheng L, Shen L, Tian L et al (2015) Scalable person re-identification: a benchmark. In: Proceedings of the IEEE international conference on computer vision, pp 1116\u20131124","DOI":"10.1109\/ICCV.2015.133"},{"key":"22_CR13","doi-asserted-by":"crossref","unstructured":"Zhong Z, Zheng L, Cao D et al (2017) Re-ranking person re-identification with k-reciprocal encoding. In: 2017 IEEE conference on computer vision and pattern recognition (CVPR). IEEE, pp 3652\u20133661","DOI":"10.1109\/CVPR.2017.389"},{"key":"22_CR14","doi-asserted-by":"crossref","unstructured":"Li W, Zhao R, Xiao T et al (2014) Deepre-ID: deep filter pairing neural network for person re-identification. In: Proceedings of the IEEE conference on computer vision and pattern recognition, pp 152\u2013159","DOI":"10.1109\/CVPR.2014.27"},{"key":"22_CR15","doi-asserted-by":"crossref","unstructured":"Ristani E, Solera F, Zou R et al (2016) Performance measures and a data set for multi-target, multi-camera tracking. In: European conference on computer vision. Springer, Cham, pp 17\u201335","DOI":"10.1007\/978-3-319-48881-3_2"},{"key":"22_CR16","doi-asserted-by":"crossref","unstructured":"Ristani E, Tomasi C (2018) Features for multi-target multi-camera tracking and re-identification. In: Proceedings of the IEEE conference on computer vision and pattern recognition, pp 6036\u20136046","DOI":"10.1109\/CVPR.2018.00632"},{"key":"22_CR17","doi-asserted-by":"crossref","unstructured":"Sun Y, Zheng L, Deng W et al (2017) SVDNet for pedestrian retrieval. In: Proceedings of the IEEE international conference on computer vision, pp 3800\u20133808","DOI":"10.1109\/ICCV.2017.410"},{"key":"22_CR18","doi-asserted-by":"crossref","unstructured":"Li W, Zhu X, Gong S (2018) Harmonious attention network for person re-identification. In: Proceedings of the IEEE conference on computer vision and pattern recognition, pp 2285\u20132294","DOI":"10.1109\/CVPR.2018.00243"}],"container-title":["Lecture Notes in Electrical Engineering","Communications, Signal Processing, and Systems"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/978-981-13-9409-6_22","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2022,1,12]],"date-time":"2022-01-12T21:27:08Z","timestamp":1642022828000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/978-981-13-9409-6_22"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2020]]},"ISBN":["9789811394089","9789811394096"],"references-count":18,"URL":"https:\/\/doi.org\/10.1007\/978-981-13-9409-6_22","relation":{},"ISSN":["1876-1100","1876-1119"],"issn-type":[{"type":"print","value":"1876-1100"},{"type":"electronic","value":"1876-1119"}],"subject":[],"published":{"date-parts":[[2020]]},"assertion":[{"value":"4 April 2020","order":1,"name":"first_online","label":"First Online","group":{"name":"ChapterHistory","label":"Chapter History"}},{"value":"CSPS","order":1,"name":"conference_acronym","label":"Conference Acronym","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"International Conference in Communications, Signal Processing, and Systems","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":"2019","order":5,"name":"conference_year","label":"Conference Year","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"20 July 2019","order":7,"name":"conference_start_date","label":"Conference Start Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"22 July 2019","order":8,"name":"conference_end_date","label":"Conference End Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"8th","order":9,"name":"conference_number","label":"Conference Number","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"csps2019","order":10,"name":"conference_id","label":"Conference ID","group":{"name":"ConferenceInfo","label":"Conference Information"}}]}}