{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,1,17]],"date-time":"2026-01-17T04:59:35Z","timestamp":1768625975521,"version":"3.49.0"},"reference-count":30,"publisher":"Springer Science and Business Media LLC","issue":"1","license":[{"start":{"date-parts":[[2022,5,20]],"date-time":"2022-05-20T00:00:00Z","timestamp":1653004800000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"},{"start":{"date-parts":[[2022,5,20]],"date-time":"2022-05-20T00:00:00Z","timestamp":1653004800000},"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":["J Ambient Intell Human Comput"],"published-print":{"date-parts":[[2024,1]]},"DOI":"10.1007\/s12652-022-03891-0","type":"journal-article","created":{"date-parts":[[2022,5,20]],"date-time":"2022-05-20T10:03:49Z","timestamp":1653041029000},"page":"291-303","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":6,"title":["Person retrieval in surveillance videos using attribute recognition"],"prefix":"10.1007","volume":"15","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-2973-3844","authenticated-orcid":false,"given":"Hiren","family":"Galiyawala","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Mehul S.","family":"Raval","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Meet","family":"Patel","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"297","published-online":{"date-parts":[[2022,5,20]]},"reference":[{"key":"3891_CR1","doi-asserted-by":"crossref","unstructured":"Chen D, Li H, Liu X, Shen Y, Shao J, Yuan Z, Wang X (2018) Improving deep visual representation for person re-identification by global and local image-language association. In: Proceedings of the European conference on computer vision (ECCV), pp 54\u201370,","DOI":"10.1007\/978-3-030-01270-0_4"},{"key":"3891_CR2","doi-asserted-by":"crossref","unstructured":"Denman S, Fookes C, Bialkowski A, Sridharan S (2009) Soft-biometrics: unconstrained authentication in a surveillance environment. In: Proceedings 2009 digital image computing: techniques and applications (DICTA). IEEE, pp 196\u2013203","DOI":"10.1109\/DICTA.2009.38"},{"issue":"2","key":"3891_CR3","doi-asserted-by":"publisher","first-page":"306","DOI":"10.1016\/j.patrec.2015.06.015","volume":"68","author":"S Denman","year":"2015","unstructured":"Denman S, Halstead M, Fookes C, Sridharan S (2015) Searching for people using semantic soft biometric descriptions. Pattern Recognit Lett 68(2):306\u2013315. https:\/\/doi.org\/10.1016\/j.patrec.2015.06.015","journal-title":"Pattern Recognit Lett"},{"issue":"18","key":"3891_CR4","doi-asserted-by":"publisher","first-page":"27343","DOI":"10.1007\/s11042-021-10983-0","volume":"80","author":"H Galiyawala","year":"2021","unstructured":"Galiyawala H, Raval MS (2021) Person retrieval in surveillance using textual query: a review. Multim Tools Appl 80(18):27343\u201327383. https:\/\/doi.org\/10.1007\/s11042-021-10983-0","journal-title":"Multim Tools Appl"},{"key":"3891_CR5","doi-asserted-by":"crossref","unstructured":"Galiyawala H, Shah K, Gajjar V, Raval M S (2018) Person retrieval in surveillance video using height, color and gender. In: 2018 15th IEEE international conference on advanced video and signal based surveillance (AVSS). IEEE, pp 1\u20136","DOI":"10.1109\/AVSS.2018.8639145"},{"key":"3891_CR6","doi-asserted-by":"publisher","DOI":"10.1016\/j.imavis.2019.10.002","author":"H Galiyawala","year":"2019","unstructured":"Galiyawala H, Raval MS, Dave S (2019) Visual appearance based person retrieval in unconstrained environment videos. Image Vis Comput. https:\/\/doi.org\/10.1016\/j.imavis.2019.10.002","journal-title":"Image Vis Comput"},{"key":"3891_CR7","doi-asserted-by":"crossref","unstructured":"Galiyawala H, Raval M S,, Laddha A(2020) Person retrieval in surveillance videos using deep soft biometrics. In: Richard J, Chang-Tsun L, Danny C, Weizhi M, Christophe R (eds) Deep biometrics. Springer, , pp 191\u2013214","DOI":"10.1007\/978-3-030-32583-1_9"},{"key":"3891_CR8","doi-asserted-by":"crossref","unstructured":"Galiyawala H, Raval MS, Savaliya D (2021) Dsa-pr: discrete soft biometric attribute-based person retrieval in surveillance videos. In: 2021 17th IEEE international conference on advanced video and signal based surveillance (AVSS). IEEE, pp 1\u20137","DOI":"10.1109\/AVSS52988.2021.9663775"},{"issue":"2","key":"3891_CR9","doi-asserted-by":"publisher","first-page":"652","DOI":"10.1109\/TPAMI.2019.2938758","volume":"43","author":"S Gao","year":"2019","unstructured":"Gao S, Cheng M, Zhao K, Zhang X, Yang M, Torr P (2019) Res2net: a new multi-scale backbone architecture. IEEE Trans Pattern Anal Mach Intell 43(2):652\u2013662. https:\/\/doi.org\/10.1109\/TPAMI.2019.2938758","journal-title":"IEEE Trans Pattern Anal Mach Intell"},{"key":"3891_CR10","doi-asserted-by":"crossref","unstructured":"Halstead M, Denman S, Sridharan S, Fookes C (2014) Locating people in video from semantic descriptions: a new database and approach. In: 2014 22nd international conference on pattern recognition (ICPR). IEEE, pp 4501\u20134506","DOI":"10.1109\/ICPR.2014.770"},{"key":"3891_CR11","doi-asserted-by":"crossref","unstructured":"Halstead M, Denman S, Fookes C, Tian Y, Nixon MS (2018) Semantic person retrieval in surveillance using soft biometrics: AVSS 2018 challenge II. In: 2018 15th IEEE international conference on advanced video and signal based surveillance (AVSS). IEEE, pp 1\u20136","DOI":"10.1109\/AVSS.2018.8639379"},{"key":"3891_CR12","doi-asserted-by":"crossref","unstructured":"He K, Zhang X, Ren S, Sun J (2016) Deep residual learning for image recognition. In: Proceedings of the IEEE conference on computer vision and pattern recognition (CVPR). IEEE, pp 770\u2013778","DOI":"10.1109\/CVPR.2016.90"},{"key":"3891_CR13","doi-asserted-by":"crossref","unstructured":"He K, Gkioxari G, Doll\u00e1r P, Girshick R (2017) Mask r-cnn. In: Proceedings of the IEEE international conference on computer vision (ICCV), pp 2961\u20132969","DOI":"10.1109\/ICCV.2017.322"},{"key":"3891_CR14","doi-asserted-by":"crossref","unstructured":"Huang G, Liu Z, Van Der Maaten L, Weinberger K (2017) Densely connected convolutional networks. In: Proceedings of the IEEE conference on computer vision and pattern recognition (CVPR), pp 4700\u20134708","DOI":"10.1109\/CVPR.2017.243"},{"key":"3891_CR15","doi-asserted-by":"crossref","unstructured":"Jain AK, Dass SC, Nandakumar K (2004) Can soft biometric traits assist user recognition? In: Biometric technology for human identification, vol 5404, pp 561\u2013572","DOI":"10.1117\/12.542890"},{"key":"3891_CR16","unstructured":"Krizhevsky A, Sutskever I, Hinton G (2012) Imagenet classification with deep convolutional neural networks. Adv Neural Inf Process Syst 25"},{"key":"3891_CR17","doi-asserted-by":"crossref","unstructured":"Li D, Chen X, Huang K (2015) Multi-attribute learning for pedestrian attribute recognition in surveillance scenarios. In: 2015 3rd IAPR Asian conference on pattern recognition (ACPR). IEEE, pp 111\u2013115","DOI":"10.1109\/ACPR.2015.7486476"},{"issue":"4","key":"3891_CR18","doi-asserted-by":"publisher","first-page":"1575","DOI":"10.1109\/TIP.2018.2878349","volume":"28","author":"D Li","year":"2018","unstructured":"Li D, Zhang Z, Chen X, Huang K (2018) A richly annotated pedestrian dataset for person retrieval in real surveillance scenarios. IEEE Trans Image Process 28(4):1575\u20131590. https:\/\/doi.org\/10.1109\/TIP.2018.2878349","journal-title":"IEEE Trans Image Process"},{"key":"3891_CR19","doi-asserted-by":"crossref","unstructured":"Lin T, Goyal P, Girshick R, He K, Doll\u00e1r P (2017) Focal loss for dense object detection. In: Proceedings of the IEEE international conference on computer vision(ICCV). IEEE, pp 2980\u20132988","DOI":"10.1109\/ICCV.2017.324"},{"issue":"2","key":"3891_CR20","doi-asserted-by":"publisher","first-page":"622","DOI":"10.3390\/app12020622","volume":"12","author":"S Sakib","year":"2022","unstructured":"Sakib S, Deb K, Dhar P, Kwon O (2022) A framework for pedestrian attribute recognition using deep learning. Appl Sci 12(2):622. https:\/\/doi.org\/10.3390\/app12020622","journal-title":"Appl Sci"},{"key":"3891_CR21","doi-asserted-by":"crossref","unstructured":"Schumann A, Specker A, Beyerer J (2018) Attribute-based person retrieval and search in video sequences. In: 2018 15th IEEE international conference on advanced video and signal based surveillance (AVSS). IEEE, pp 1\u20136","DOI":"10.1109\/AVSS.2018.8639114"},{"key":"3891_CR22","doi-asserted-by":"crossref","unstructured":"Shah P, Raval MS, Pandya S, Chaudhary S, Laddha A, Galiyawala H (2017) Description based person identification: use of clothes color and type. In: National conference on computer vision, pattern recognition, image processing, and graphics. Springer, pp 457\u2013469","DOI":"10.1007\/978-981-13-0020-2_40"},{"key":"3891_CR23","doi-asserted-by":"crossref","unstructured":"Shah P, Garg A, Gajjar V (2021) Per-vis: Person retrieval in video surveillance using semantic description. In: Proceedings of the IEEE\/CVF winter conference on applications of computer vision (WACV), pp 41\u201350","DOI":"10.1109\/WACVW52041.2021.00009"},{"key":"3891_CR24","doi-asserted-by":"crossref","unstructured":"Specker A, Beyerer J (2021) Improving attribute-based person retrieval by using a calibrated, weighted, and distribution-based distance metric. In: 2021 IEEE international conference on image processing (ICIP). IEEE, pp 2378\u20132382","DOI":"10.1109\/ICIP42928.2021.9506096"},{"key":"3891_CR25","doi-asserted-by":"crossref","unstructured":"Sudowe P, Spitzer H, Leibe B (2015) Person attribute recognition with a jointly-trained holistic CNN model. In: Proceedings of the IEEE international conference on computer vision workshops. IEEE, pp 87\u201395","DOI":"10.1109\/ICCVW.2015.51"},{"issue":"4","key":"3891_CR26","doi-asserted-by":"publisher","first-page":"323","DOI":"10.1109\/JRA.1987.1087109","volume":"3","author":"R Tsai","year":"1987","unstructured":"Tsai R (1987) A versatile camera calibration technique for high-accuracy 3d machine vision metrology using off-the-shelf tv cameras and lenses. IEEE J Robot Autom 3(4):323\u2013344. https:\/\/doi.org\/10.1109\/JRA.1987.1087109","journal-title":"IEEE J Robot Autom"},{"key":"3891_CR27","doi-asserted-by":"crossref","unstructured":"Yaguchi T, Nixon MS (2018) Transfer learning based approach for semantic person retrieval. In: 2018 15th IEEE international conference on advanced video and signal based surveillance (AVSS). IEEE, pp 1\u20136","DOI":"10.1109\/AVSS.2018.8639129"},{"key":"3891_CR28","doi-asserted-by":"publisher","DOI":"10.1016\/j.patcog.2021.107938","author":"Y Zhao","year":"2021","unstructured":"Zhao Y, Shen C, Yu X, Chen H, Gao Y, Xiong S (2021) Learning deep part-aware embedding for person retrieval. Pattern Recognit. https:\/\/doi.org\/10.1016\/j.patcog.2021.107938","journal-title":"Pattern Recognit"},{"key":"3891_CR29","doi-asserted-by":"publisher","unstructured":"Zhao Y, Yam G, Lu J, Bian Z, Tian J(2022) Flsrnet: pedestrian attribute recognition using focal label smoothing regularization. Signal Image Video Process. https:\/\/doi.org\/10.1007\/s11760-021-02099-7","DOI":"10.1007\/s11760-021-02099-7"},{"key":"3891_CR30","doi-asserted-by":"crossref","unstructured":"Zhen L, Hu P, Wang X, Peng D (2019) Deep supervised cross-modal retrieval. In: Proceedings of the IEEE\/CVF conference on computer vision and pattern recognition (CVPR), pp 10394\u201310403","DOI":"10.1109\/CVPR.2019.01064"}],"container-title":["Journal of Ambient Intelligence and Humanized Computing"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/s12652-022-03891-0.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/link.springer.com\/article\/10.1007\/s12652-022-03891-0\/fulltext.html","content-type":"text\/html","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/s12652-022-03891-0.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2024,2,26]],"date-time":"2024-02-26T19:20:35Z","timestamp":1708975235000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/s12652-022-03891-0"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2022,5,20]]},"references-count":30,"journal-issue":{"issue":"1","published-print":{"date-parts":[[2024,1]]}},"alternative-id":["3891"],"URL":"https:\/\/doi.org\/10.1007\/s12652-022-03891-0","relation":{},"ISSN":["1868-5137","1868-5145"],"issn-type":[{"value":"1868-5137","type":"print"},{"value":"1868-5145","type":"electronic"}],"subject":[],"published":{"date-parts":[[2022,5,20]]},"assertion":[{"value":"6 July 2021","order":1,"name":"received","label":"Received","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"28 April 2022","order":2,"name":"accepted","label":"Accepted","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"20 May 2022","order":3,"name":"first_online","label":"First Online","group":{"name":"ArticleHistory","label":"Article History"}}]}}