{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,5,12]],"date-time":"2026-05-12T21:19:14Z","timestamp":1778620754732,"version":"3.51.4"},"reference-count":37,"publisher":"Elsevier BV","license":[{"start":{"date-parts":[[2026,7,1]],"date-time":"2026-07-01T00:00:00Z","timestamp":1782864000000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.elsevier.com\/tdm\/userlicense\/1.0\/"},{"start":{"date-parts":[[2026,7,1]],"date-time":"2026-07-01T00:00:00Z","timestamp":1782864000000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.elsevier.com\/legal\/tdmrep-license"},{"start":{"date-parts":[[2026,1,16]],"date-time":"2026-01-16T00:00:00Z","timestamp":1768521600000},"content-version":"vor","delay-in-days":0,"URL":"http:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"funder":[{"DOI":"10.13039\/501100000288","name":"Royal Society","doi-asserted-by":"publisher","award":["RG\\\\R1\\\\251462"],"award-info":[{"award-number":["RG\\\\R1\\\\251462"]}],"id":[{"id":"10.13039\/501100000288","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100003787","name":"Natural Science Foundation of Hebei Province","doi-asserted-by":"publisher","award":["F2024203091"],"award-info":[{"award-number":["F2024203091"]}],"id":[{"id":"10.13039\/501100003787","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100003787","name":"Natural Science Foundation of Hebei Province","doi-asserted-by":"publisher","award":["F2025203045"],"award-info":[{"award-number":["F2025203045"]}],"id":[{"id":"10.13039\/501100003787","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100001809","name":"National Natural Science Foundation of China","doi-asserted-by":"publisher","award":["62306264"],"award-info":[{"award-number":["62306264"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100001809","name":"National Natural Science Foundation of China","doi-asserted-by":"publisher","award":["62173290"],"award-info":[{"award-number":["62173290"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":["elsevier.com","sciencedirect.com"],"crossmark-restriction":true},"short-container-title":["Information Fusion"],"published-print":{"date-parts":[[2026,7]]},"DOI":"10.1016\/j.inffus.2026.104142","type":"journal-article","created":{"date-parts":[[2026,1,11]],"date-time":"2026-01-11T15:13:21Z","timestamp":1768144401000},"page":"104142","update-policy":"https:\/\/doi.org\/10.1016\/elsevier_cm_policy","source":"Crossref","is-referenced-by-count":0,"special_numbering":"C","title":["MCIVA: A multi-view pedestrian detection framework with a central inverse nearest neighbor map and a view adaptive module"],"prefix":"10.1016","volume":"131","author":[{"ORCID":"https:\/\/orcid.org\/0000-0003-1152-5817","authenticated-orcid":false,"given":"He","family":"Li","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0009-0008-2654-1928","authenticated-orcid":false,"given":"Taiyu","family":"Liao","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-1453-0603","authenticated-orcid":false,"given":"Weihang","family":"Kong","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-8012-0103","authenticated-orcid":false,"given":"Xingchen","family":"Zhang","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"78","reference":[{"key":"10.1016\/j.inffus.2026.104142_bib0001","doi-asserted-by":"crossref","DOI":"10.1016\/j.patcog.2024.110539","article-title":"Robust pedestrian detection via constructing versatile pedestrian knowledge bank","volume":"153","author":"Park","year":"2024","journal-title":"Pattern Recognit."},{"issue":"2","key":"10.1016\/j.inffus.2026.104142_bib0002","doi-asserted-by":"crossref","first-page":"6051","DOI":"10.1007\/s11042-023-15862-4","article-title":"Pedestrian detection using RetinaNet with multi-branch structure and double pooling attention mechanism","volume":"83","author":"Huang","year":"2024","journal-title":"Multimed. Tool. Appl."},{"issue":"9","key":"10.1016\/j.inffus.2026.104142_bib0003","doi-asserted-by":"crossref","first-page":"7975","DOI":"10.1109\/TCSVT.2024.3383914","article-title":"Integrating language-derived appearance elements with visual cues in pedestrian detection","volume":"34","author":"Park","year":"2024","journal-title":"IEEE Trans. Circuit. Syst. Video Technol."},{"key":"10.1016\/j.inffus.2026.104142_bib0004","series-title":"European Conference on Computer Vision","first-page":"430","article-title":"When pedestrian detection meets multi-modal learning: generalist model and benchmark dataset","author":"Zhang","year":"2024"},{"key":"10.1016\/j.inffus.2026.104142_bib0005","series-title":"European Conference on Computer Vision","first-page":"1","article-title":"Multiview detection with feature perspective transformation","author":"Hou","year":"2020"},{"key":"10.1016\/j.inffus.2026.104142_bib0006","series-title":"IEEE International Conference on Computer Vision","first-page":"6049","article-title":"Stacked homography transformations for multi-view pedestrian detection","author":"Song","year":"2021"},{"key":"10.1016\/j.inffus.2026.104142_bib0007","series-title":"ACM International Conference on Multimedia","first-page":"1673","article-title":"Multiview detection with shadow transformer (and view-coherent data augmentation)","author":"Hou","year":"2021"},{"key":"10.1016\/j.inffus.2026.104142_bib0008","doi-asserted-by":"crossref","first-page":"109","DOI":"10.1016\/j.inffus.2023.02.013","article-title":"Learnable graph convolutional network and feature fusion for multi-view learning","volume":"95","author":"Chen","year":"2023","journal-title":"Inform. Fusion"},{"key":"10.1016\/j.inffus.2026.104142_bib0009","doi-asserted-by":"crossref","DOI":"10.1016\/j.inffus.2023.101937","article-title":"UNTIE: Clustering analysis with disentanglement in multi-view information fusion","volume":"100","author":"Xu","year":"2023","journal-title":"Inform. Fusion"},{"key":"10.1016\/j.inffus.2026.104142_bib0010","doi-asserted-by":"crossref","first-page":"77","DOI":"10.1016\/j.inffus.2021.03.011","article-title":"Learning disentangled user representation with multi-view information fusion on social networks","volume":"74","author":"Tang","year":"2021","journal-title":"Inform. Fusion"},{"issue":"2","key":"10.1016\/j.inffus.2026.104142_bib0011","doi-asserted-by":"crossref","first-page":"267","DOI":"10.1109\/TPAMI.2007.1174","article-title":"Multicamera people tracking with a probabilistic occupancy map","volume":"30","author":"Fleuret","year":"2007","journal-title":"IEEE Trans. Pattern Anal. Mach. Intell."},{"issue":"9","key":"10.1016\/j.inffus.2026.104142_bib0012","doi-asserted-by":"crossref","first-page":"234","DOI":"10.1007\/s10462-024-10897-x","article-title":"GAN based augmentation using a hybrid loss function for dermoscopy images","volume":"57","author":"Goceri","year":"2024","journal-title":"Artif. Intell. Rev."},{"key":"10.1016\/j.inffus.2026.104142_bib0013","doi-asserted-by":"crossref","DOI":"10.1016\/j.dsp.2024.104685","article-title":"Evaluation of SSIM loss function in RIR generator GANs","volume":"154","author":"Pekmezci","year":"2024","journal-title":"Digit. Signal Process."},{"key":"10.1016\/j.inffus.2026.104142_bib0014","unstructured":"J. Redmon, Yolov3: An incremental improvement, arXiv: 1804.02767(2018)."},{"key":"10.1016\/j.inffus.2026.104142_bib0015","series-title":"IEEE Conference on Computer Vision and Pattern Recognition","first-page":"840","article-title":"Feature selective anchor-free module for single-shot object detection","author":"Zhu","year":"2019"},{"key":"10.1016\/j.inffus.2026.104142_bib0016","series-title":"European Conference on Computer Vision","first-page":"637","article-title":"Occlusion-aware R-CNN: detecting pedestrians in a crowd","author":"Zhang","year":"2018"},{"key":"10.1016\/j.inffus.2026.104142_bib0017","series-title":"European Conference on Computer Vision","first-page":"200","article-title":"Ray denoising: depth-aware hard negative sampling for multi-view 3D object detection","author":"Liu","year":"2024"},{"key":"10.1016\/j.inffus.2026.104142_bib0018","doi-asserted-by":"crossref","DOI":"10.1016\/j.inffus.2023.102012","article-title":"Multi-view outlier detection via graphs denoising","volume":"101","author":"Hu","year":"2024","journal-title":"Inform. Fusion"},{"key":"10.1016\/j.inffus.2026.104142_bib0019","series-title":"European Conference on Computer Vision","first-page":"146","article-title":"OPEN: Object-wise position embedding for multi-view 3D object detection","author":"Hou","year":"2024"},{"key":"10.1016\/j.inffus.2026.104142_bib0020","series-title":"IEEE International Conference on Computer Vision","first-page":"271","article-title":"Deep occlusion reasoning for multi-camera multi-target detection","author":"Baqu\u00e9","year":"2017"},{"issue":"2","key":"10.1016\/j.inffus.2026.104142_bib0021","doi-asserted-by":"crossref","first-page":"165","DOI":"10.3390\/e24020165","article-title":"Pedestrian detection with multi-view convolution fusion algorithm","volume":"24","author":"Liu","year":"2022","journal-title":"Entropy"},{"key":"10.1016\/j.inffus.2026.104142_bib0022","unstructured":"Y. Hou, S. Gould, L. Zheng, Learning to Select Camera Views: Efficient Multiview Understanding at Few Glances, arXiv: 2303.06145(2023)."},{"key":"10.1016\/j.inffus.2026.104142_bib0023","series-title":"IEEE International Conference on Advanced Video and Signal Based Surveillance","first-page":"1","article-title":"MVSparse: Distributed cooperative multi-camera multi-target tracking on the edge","author":"Nalaie","year":"2024"},{"key":"10.1016\/j.inffus.2026.104142_bib0024","series-title":"IEEE\/CVF Winter Conference on Applications of Computer Vision","first-page":"363","article-title":"Booster-SHOT: boosting stacked homography transformations for multiview pedestrian detection with attention","author":"Hwang","year":"2024"},{"key":"10.1016\/j.inffus.2026.104142_bib0025","series-title":"Association for the Advancement of Artificial Intelligence","article-title":"Multi-view pedestrian occupancy prediction with a novel synthetic dataset","author":"Aung","year":"2025"},{"key":"10.1016\/j.inffus.2026.104142_bib0026","series-title":"Proceedings of the Computer Vision and Pattern Recognition Conference Workshops","first-page":"3377","article-title":"Enhanced multi-view pedestrian detection using probabilistic occupancy volume","author":"Alturki","year":"2025"},{"key":"10.1016\/j.inffus.2026.104142_bib0027","series-title":"IEEE Conference on Computer Vision and Pattern Recognition","first-page":"589","article-title":"Single-image crowd counting via multi-column convolutional neural network","author":"Zhang","year":"2016"},{"key":"10.1016\/j.inffus.2026.104142_bib0028","series-title":"European Conference on Computer Vision","first-page":"532","article-title":"Composition loss for counting, density map estimation and localization in dense crowds","author":"Idrees","year":"2018"},{"key":"10.1016\/j.inffus.2026.104142_bib0029","series-title":"Proceedings of the 15th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications","first-page":"185","article-title":"Improving dense crowd counting convolutional neural networks using inverse k-nearest neighbor maps and multiscale upsampling","author":"Olmschenk","year":"2020"},{"key":"10.1016\/j.inffus.2026.104142_bib0030","series-title":"European Conference on Computer Vision","first-page":"734","article-title":"Scale aggregation network for accurate and efficient crowd counting","author":"Cao","year":"2018"},{"issue":"1","key":"10.1016\/j.inffus.2026.104142_bib0031","doi-asserted-by":"crossref","first-page":"47","DOI":"10.1109\/TCI.2016.2644865","article-title":"Loss functions for image restoration with neural networks","volume":"3","author":"Zhao","year":"2017","journal-title":"IEEE Trans. Comput. Imaging"},{"key":"10.1016\/j.inffus.2026.104142_bib0032","series-title":"IEEE International Conference on Computer Vision","first-page":"1774","article-title":"Crowd counting with deep structured scale integration network","author":"Liu","year":"2019"},{"key":"10.1016\/j.inffus.2026.104142_bib0033","doi-asserted-by":"crossref","first-page":"6040","DOI":"10.1109\/TMM.2022.3203870","article-title":"Focal inverse distance transform maps for crowd localization","volume":"25","author":"Liang","year":"2023","journal-title":"IEEE Trans. Multimed."},{"key":"10.1016\/j.inffus.2026.104142_bib0034","series-title":"IEEE Conference on Computer Vision and Pattern Recognition","first-page":"5030","article-title":"Wildtrack: a multi-camera HD dataset for dense unscripted pedestrian detection","author":"Chavdarova","year":"2018"},{"key":"10.1016\/j.inffus.2026.104142_bib0035","series-title":"IEEE Conference on Computer Vision and Pattern Recognition","first-page":"4256","article-title":"Multi-view people tracking via hierarchical trajectory composition","author":"Xu","year":"2016"},{"key":"10.1016\/j.inffus.2026.104142_bib0036","series-title":"IEEE International Conference on Machine Learning and Applications","first-page":"848","article-title":"Deep multi-camera people detection","author":"Chavdarova","year":"2017"},{"key":"10.1016\/j.inffus.2026.104142_bib0037","series-title":"Proceedings of the IEEE\/CVF Winter Conference on Applications of Computer Vision Workshops","first-page":"110","article-title":"Bringing generalization to deep multi-view pedestrian detection","author":"Vora","year":"2023"}],"container-title":["Information Fusion"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/api.elsevier.com\/content\/article\/PII:S1566253526000217?httpAccept=text\/xml","content-type":"text\/xml","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/api.elsevier.com\/content\/article\/PII:S1566253526000217?httpAccept=text\/plain","content-type":"text\/plain","content-version":"vor","intended-application":"text-mining"}],"deposited":{"date-parts":[[2026,5,12]],"date-time":"2026-05-12T20:46:54Z","timestamp":1778618814000},"score":1,"resource":{"primary":{"URL":"https:\/\/linkinghub.elsevier.com\/retrieve\/pii\/S1566253526000217"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2026,7]]},"references-count":37,"alternative-id":["S1566253526000217"],"URL":"https:\/\/doi.org\/10.1016\/j.inffus.2026.104142","relation":{},"ISSN":["1566-2535"],"issn-type":[{"value":"1566-2535","type":"print"}],"subject":[],"published":{"date-parts":[[2026,7]]},"assertion":[{"value":"Elsevier","name":"publisher","label":"This article is maintained by"},{"value":"MCIVA: A multi-view pedestrian detection framework with a central inverse nearest neighbor map and a view adaptive module","name":"articletitle","label":"Article Title"},{"value":"Information Fusion","name":"journaltitle","label":"Journal Title"},{"value":"https:\/\/doi.org\/10.1016\/j.inffus.2026.104142","name":"articlelink","label":"CrossRef DOI link to publisher maintained version"},{"value":"article","name":"content_type","label":"Content Type"},{"value":"\u00a9 2026 The Authors. Published by Elsevier B.V.","name":"copyright","label":"Copyright"}],"article-number":"104142"}}