{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2024,9,10]],"date-time":"2024-09-10T19:40:16Z","timestamp":1725997216249},"reference-count":64,"publisher":"Springer Science and Business Media LLC","issue":"7","license":[{"start":{"date-parts":[[2021,10,23]],"date-time":"2021-10-23T00:00:00Z","timestamp":1634947200000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.springer.com\/tdm"},{"start":{"date-parts":[[2021,10,23]],"date-time":"2021-10-23T00:00:00Z","timestamp":1634947200000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/www.springer.com\/tdm"}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":["Appl Intell"],"published-print":{"date-parts":[[2022,5]]},"DOI":"10.1007\/s10489-021-02838-w","type":"journal-article","created":{"date-parts":[[2021,10,25]],"date-time":"2021-10-25T09:03:05Z","timestamp":1635152585000},"page":"8226-8242","update-policy":"http:\/\/dx.doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":5,"title":["Detection-by-tracking of traffic signs in videos"],"prefix":"10.1007","volume":"52","author":[{"given":"Yanting","family":"Zhang","sequence":"first","affiliation":[]},{"given":"Zijian","family":"Wang","sequence":"additional","affiliation":[]},{"given":"Ruoning","family":"Song","sequence":"additional","affiliation":[]},{"given":"Cairong","family":"Yan","sequence":"additional","affiliation":[]},{"given":"Yonggang","family":"Qi","sequence":"additional","affiliation":[]}],"member":"297","published-online":{"date-parts":[[2021,10,23]]},"reference":[{"key":"2838_CR1","unstructured":"Barnes N, Zelinsky A (2004) Real-time radial symmetry for speed sign detection. In: Intelligent vehicles symposium, 2004 IEEE"},{"key":"2838_CR2","doi-asserted-by":"crossref","unstructured":"Barnesi N, Loy G, Shaw D, Robles-Kelly A (2005) Regular polygon detection. In: Tenth IEEE international conference on computer vision","DOI":"10.1109\/ICCV.2005.207"},{"issue":"1","key":"2838_CR3","doi-asserted-by":"publisher","first-page":"124","DOI":"10.1007\/s10489-020-01801-5","volume":"51","author":"K Bayoudh","year":"2021","unstructured":"Bayoudh K, Hamdaoui F, Mtibaa A (2021) Transfer learning based hybrid 2d-3d cnn for traffic sign recognition and semantic road detection applied in advanced driver assistance systems. Appl Intell 51 (1):124\u2013142","journal-title":"Appl Intell"},{"issue":"2","key":"2838_CR4","first-page":"139","volume":"5","author":"A Behloul","year":"2014","unstructured":"Behloul A, Saadna Y (2014) A fast and robust traffic sign recognition. Int J Innov Appl Stud 5(2):139\u2013149","journal-title":"Int J Innov Appl Stud"},{"key":"2838_CR5","doi-asserted-by":"crossref","unstructured":"Belaroussi R, Tarel JP (2009) Angle vertex and bisector geometric model for triangular road sign detection. In: Applications of computer vision","DOI":"10.1109\/WACV.2009.5403030"},{"key":"2838_CR6","doi-asserted-by":"crossref","unstructured":"Belkin I, Tkachenko S, Yudin D Traffic sign recognition on video sequence using deep neural networks and matching algorithm. In: 2019 International Conference on Artificial Intelligence: Applications and Innovations (IC-AIAI). IEEE, pp 35\u2013 354","DOI":"10.1109\/IC-AIAI48757.2019.00013"},{"key":"2838_CR7","unstructured":"Benallal M, Meunier J (2003) Real-time color segmentation of road signs. In: Electrical and computer engineering, 2003. IEEE CCECE 2003. Canadian conference on"},{"key":"2838_CR8","doi-asserted-by":"crossref","unstructured":"Bergmann P, Meinhardt T, Leal-Taixe L (2019) Tracking without bells and whistles. In: Proceedings of the IEEE International Conference on Computer Vision, pp 941\u2013951","DOI":"10.1109\/ICCV.2019.00103"},{"key":"2838_CR9","unstructured":"Brkic K, Pinz A, \u0160egvic S (2009) Traffic sign detection as a component of an automated traffic infrastructure inventory system. In: Proceedings of the annual Workshop of the Austrian Association for Pattern Recognition, vol 1. Citeseer"},{"issue":"112","key":"2838_CR10","first-page":"753","volume":"138","author":"Z Chen","year":"2019","unstructured":"Chen Z, Cai H, Zhang Y, Wu C, Mu M, Li Z, Sotelo MA (2019) A novel sparse representation model for pedestrian abnormal trajectory understanding. Expert Syst Appl 138(112):753","journal-title":"Expert Syst Appl"},{"key":"2838_CR11","unstructured":"Contributors M (2020) MMTracking: OpenMMLab video perception toolbox and benchmark. https:\/\/github.com\/open-mmlab\/mmtracking"},{"key":"2838_CR12","doi-asserted-by":"crossref","unstructured":"Dalal N, Triggs B (2005) Histograms of oriented gradients for human detection. In: 2005 IEEE Computer society conference on computer vision and pattern recognition (CVPR\u201905), vol 1. IEEE, pp 886\u2013893","DOI":"10.1109\/CVPR.2005.177"},{"key":"2838_CR13","doi-asserted-by":"crossref","unstructured":"Dosovitskiy A, Fischer P, Ilg E, Hausser P, Hazirbas C, Golkov V, Van Der Smagt P, Cremers D, Brox T (2015) Flownet: Learning optical flow with convolutional networks. In: Proceedings of the IEEE international conference on computer vision, pp 2758\u20132766","DOI":"10.1109\/ICCV.2015.316"},{"key":"2838_CR14","doi-asserted-by":"crossref","unstructured":"El Margae S, Sanae B, Mounir AK, Youssef F (2014) Traffic sign recognition based on multi-block lbp features using svm with normalization. In: 2014 9Th international conference on intelligent systems: theories and applications (SITA-14). IEEE, pp 1\u20137","DOI":"10.1109\/SITA.2014.6847283"},{"issue":"6","key":"2838_CR15","doi-asserted-by":"publisher","first-page":"848","DOI":"10.1109\/41.649946","volume":"44","author":"A de la Escalera","year":"1997","unstructured":"de la Escalera A, Moreno L, Salichs M, Armingol J (1997) Road traffic sign detection and classification. IEEE Trans Ind Electron 44(6):848\u2013859","journal-title":"IEEE Trans Ind Electron"},{"key":"2838_CR16","doi-asserted-by":"crossref","unstructured":"Feichtenhofer C, Pinz A, Zisserman A (2017) Detect to track and track to detect. In: Proceedings of the IEEE International Conference on Computer Vision, pp 3038\u20133046","DOI":"10.1109\/ICCV.2017.330"},{"key":"2838_CR17","doi-asserted-by":"crossref","unstructured":"Fleyeh H (2004) Color detection and segmentation for road and traffic signs. In: IEEE Conference on cybernetics and intelligent systems, vol. 2, pp 809\u2013814. IEEE","DOI":"10.1109\/ICCIS.2004.1460692"},{"key":"2838_CR18","doi-asserted-by":"crossref","unstructured":"Garcia-Garrido MA, Sotelo MA, Martm-Gorostiza E (2006) Fast traffic sign detection and recognition under changing lighting conditions. In: Intelligent transportation systems conference, 2006. ITSC \u201906. IEEE","DOI":"10.1109\/ITSC.2006.1706843"},{"key":"2838_CR19","doi-asserted-by":"crossref","unstructured":"Geiger A, Lenz P, Urtasun R (2012) Are we ready for autonomous driving? the kitti vision benchmark suite. In: Conference on computer vision and pattern recognition (CVPR)","DOI":"10.1109\/CVPR.2012.6248074"},{"key":"2838_CR20","doi-asserted-by":"crossref","unstructured":"Girshick R (2015) Fast r-cnn. In: Proceedings of the IEEE international conference on computer vision, pp 1440\u20131448","DOI":"10.1109\/ICCV.2015.169"},{"key":"2838_CR21","doi-asserted-by":"crossref","unstructured":"Girshick R, Donahue J, Darrell T, Malik J (2014) Rich feature hierarchies for accurate object detection and semantic segmentation. In: Proceedings of the IEEE conference on computer vision and pattern recognition, pp 580\u2013587","DOI":"10.1109\/CVPR.2014.81"},{"key":"2838_CR22","unstructured":"Han W, Khorrami P, Paine TL, Ramachandran P, Babaeizadeh M, Shi H, Li J, Yan S, Huang TS (2016) Seq-nms for video object detection. arXiv:1602.08465"},{"issue":"1\/2","key":"2838_CR23","first-page":"202","volume":"10","author":"A Hechri","year":"2015","unstructured":"Hechri A, Hmida R, Mtibaa A (2015) Robust road lanes and traffic signs recognition for driver assistance system. Int J Comput Eng 10(1\/2):202\u2013209","journal-title":"Int J Comput Eng"},{"issue":"3","key":"2838_CR24","doi-asserted-by":"publisher","first-page":"583","DOI":"10.1109\/TPAMI.2014.2345390","volume":"37","author":"JF Henriques","year":"2015","unstructured":"Henriques JF, Caseiro R, Martins P, Batista J (2015) High-speed tracking with kernelized correlation filters. IEEE Trans Pattern Anal Mach Intell 37(3):583\u2013596","journal-title":"IEEE Trans Pattern Anal Mach Intell"},{"key":"2838_CR25","doi-asserted-by":"crossref","unstructured":"Houben S, Stallkamp J, Salmen J, Schlipsing M, Igel C (2013) Detection of traffic signs in real-world images: The german traffic sign detection benchmark. In: The 2013 international joint conference on neural networks (IJCNN). IEEE, pp 1\u20138","DOI":"10.1109\/IJCNN.2013.6706807"},{"issue":"3","key":"2838_CR26","doi-asserted-by":"publisher","first-page":"385","DOI":"10.1145\/321765.321768","volume":"20","author":"DB Johnson","year":"1973","unstructured":"Johnson DB (1973) A note on dijkstra\u2019s shortest path algorithm. J ACM (JACM) 20(3):385\u2013388","journal-title":"J ACM (JACM)"},{"key":"2838_CR27","doi-asserted-by":"crossref","unstructured":"Kang K, Li H, Xiao T, Ouyang W, Yan J, Liu X, Wang X (2017) Object detection in videos with tubelet proposal networks. In: Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, pp 727\u2013735","DOI":"10.1109\/CVPR.2017.101"},{"issue":"10","key":"2838_CR28","doi-asserted-by":"publisher","first-page":"2896","DOI":"10.1109\/TCSVT.2017.2736553","volume":"28","author":"K Kang","year":"2018","unstructured":"Kang K, Li H, Yan J, Zeng X, Yang B, Xiao T, Zhang C, Wang Z, Wang R, Wang X et al (2018) T-cnn: Tubelets with convolutional neural networks for object detection from videos. IEEE Trans Circ Syst Video Technol 28(10):2896\u20132907","journal-title":"IEEE Trans Circ Syst Video Technol"},{"key":"2838_CR29","doi-asserted-by":"crossref","unstructured":"Kang K, Ouyang W, Li H, Wang X (2016) Object detection from video tubelets with convolutional neural networks. In: Proceedings of the IEEE conference on computer vision and pattern recognition, pp 817\u2013825","DOI":"10.1109\/CVPR.2016.95"},{"key":"2838_CR30","doi-asserted-by":"crossref","unstructured":"Larsson F, Felsberg M (2011) Using fourier descriptors and spatial models for traffic sign recognition. In: Scandinavian conference on image analysis. Springer, pp 238\u2013249","DOI":"10.1007\/978-3-642-21227-7_23"},{"issue":"3","key":"2838_CR31","doi-asserted-by":"publisher","first-page":"400","DOI":"10.1016\/j.cviu.2009.12.006","volume":"114","author":"I Leichter","year":"2010","unstructured":"Leichter I, Lindenbaum M, Rivlin E (2010) Mean shift tracking with multiple reference color histograms. Comput Vis Image Underst 114(3):400\u2013408","journal-title":"Comput Vis Image Underst"},{"key":"2838_CR32","doi-asserted-by":"crossref","unstructured":"Lin TY, 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, pp 2980\u20132988","DOI":"10.1109\/ICCV.2017.324"},{"key":"2838_CR33","doi-asserted-by":"crossref","unstructured":"Liu W, Anguelov D, Erhan D, Szegedy C, Reed S, Fu CY, Berg AC (2016) Ssd: Single shot multibox detector. In: European conference on computer vision. Springer, pp 21\u201337","DOI":"10.1007\/978-3-319-46448-0_2"},{"key":"2838_CR34","doi-asserted-by":"crossref","unstructured":"Lukezic A, Vojir T, Cehovin Zajc L, Matas J, Kristan M (2017) Discriminative correlation filter with channel and spatial reliability. In: Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, pp 6309\u20136318","DOI":"10.1109\/CVPR.2017.515"},{"issue":"2","key":"2838_CR35","doi-asserted-by":"publisher","first-page":"264","DOI":"10.1109\/TITS.2007.895311","volume":"8","author":"S Maldonado-Basc\u00f3n","year":"2007","unstructured":"Maldonado-Basc\u00f3n S, Lafuente-Arroyo S, Gil-Jimenez P, G\u00f3mez-Moreno H, L\u00f3pez-Ferreras F (2007) Road-sign detection and recognition based on support vector machines. IEEE Trans Intell Transp Syst 8(2):264\u2013278","journal-title":"IEEE Trans Intell Transp Syst"},{"key":"2838_CR36","unstructured":"Massa F, Girshick R (2018) maskrcnn-benchmark: fast, modular reference implementation of Instance Segmentation and Object Detection algorithms in PyTorch https:\/\/github.com\/facebookresearch\/maskrcnn-benchmark"},{"issue":"1","key":"2838_CR37","doi-asserted-by":"publisher","first-page":"21","DOI":"10.1007\/s10514-012-9281-4","volume":"33","author":"L Meier","year":"2012","unstructured":"Meier L, Tanskanen P, Heng L, Lee GH, Fraundorfer F, Pollefeys M (2012) Pixhawk: a micro aerial vehicle design for autonomous flight using onboard computer vision. Auton Robot 33(1):21\u2013 39","journal-title":"Auton Robot"},{"issue":"4","key":"2838_CR38","doi-asserted-by":"publisher","first-page":"1484","DOI":"10.1109\/TITS.2012.2209421","volume":"13","author":"A Mogelmose","year":"2012","unstructured":"Mogelmose A, Trivedi MM, Moeslund TB (2012) Vision-based traffic sign detection and analysis for intelligent driver assistance systems: Perspectives and survey. IEEE Trans Intell Transp Syst 13(4):1484\u20131497","journal-title":"IEEE Trans Intell Transp Syst"},{"key":"2838_CR39","doi-asserted-by":"publisher","first-page":"156","DOI":"10.1016\/j.patcog.2018.09.003","volume":"86","author":"R Munoz-Salinas","year":"2019","unstructured":"Munoz-Salinas R, Marin-Jimenez MJ, Medina-Carnicer R (2019) Spm-slam: Simultaneous localization and mapping with squared planar markers. Pattern Recogn 86:156\u2013171","journal-title":"Pattern Recogn"},{"key":"2838_CR40","doi-asserted-by":"crossref","unstructured":"Oneata D, Revaud J, Verbeek J, Schmid C (2014) Spatio-temporal object detection proposals. In: European conference on computer vision. Springer, pp 737\u2013752","DOI":"10.1007\/978-3-319-10578-9_48"},{"key":"2838_CR41","doi-asserted-by":"crossref","unstructured":"Qu X, Soheilian B, Paparoditis N (2015) Vehicle localization using mono-camera and geo-referenced traffic signs. In: 2015 IEEE Intelligent vehicles symposium (IV). IEEE, pp 605\u2013610","DOI":"10.1109\/IVS.2015.7225751"},{"key":"2838_CR42","doi-asserted-by":"crossref","unstructured":"Redmon J, Divvala S, Girshick R, Farhadi A (2016) You only look once: Unified, real-time object detection. In: Proceedings of the IEEE conference on computer vision and pattern recognition, pp 779\u2013788","DOI":"10.1109\/CVPR.2016.91"},{"key":"2838_CR43","unstructured":"Ren S, He K, Girshick R, Sun J (2015) Faster r-cnn: Towards real-time object detection with region proposal networks. In: Advances in neural information processing systems, pp 91\u201399"},{"issue":"3","key":"2838_CR44","doi-asserted-by":"publisher","first-page":"211","DOI":"10.1007\/s11263-015-0816-y","volume":"115","author":"O Russakovsky","year":"2015","unstructured":"Russakovsky O, Deng J, Su H, Krause J, Satheesh S, Ma S, Huang Z, Karpathy A, Khosla A, Bernstein M, Berg AC, Fei-fei L (2015) ImageNet Large Scale Visual Recognition Challenge. Int J Comput Vis (IJCV) 115(3):211\u2013252. https:\/\/doi.org\/10.1007\/s11263-015-0816-y","journal-title":"Int J Comput Vis (IJCV)"},{"issue":"1","key":"2838_CR45","doi-asserted-by":"publisher","first-page":"416","DOI":"10.1016\/j.patcog.2009.05.018","volume":"43","author":"A Ruta","year":"2010","unstructured":"Ruta A, Li Y, Liu X (2010) Real-time traffic sign recognition from video by class-specific discriminative features. Pattern Recogn 43(1):416\u2013430","journal-title":"Pattern Recogn"},{"issue":"3","key":"2838_CR46","doi-asserted-by":"publisher","first-page":"193","DOI":"10.1007\/s13735-017-0129-8","volume":"6","author":"Y Saadna","year":"2017","unstructured":"Saadna Y, Behloul A (2017) An overview of traffic sign detection and classification methods. Int J Multimed Inf Retr 6(3):193\u2013210","journal-title":"Int J Multimed Inf Retr"},{"issue":"3","key":"2838_CR47","doi-asserted-by":"publisher","first-page":"649","DOI":"10.1007\/s00138-011-0396-y","volume":"25","author":"S \u0160egvi\u0107","year":"2014","unstructured":"\u0160egvi\u0107 S, Brki\u0107 K, Kalafati\u0107 Z, Pinz A (2014) Exploiting temporal and spatial constraints in traffic sign detection from a moving vehicle. Mach Vis Appl 25(3):649\u2013665","journal-title":"Mach Vis Appl"},{"key":"2838_CR48","doi-asserted-by":"crossref","unstructured":"Sermanet P, Lecun Y (2011) Traffic sign recognition with multi-scale convolutional networks. In: International joint conference on neural networks, pp 2809\u20132813","DOI":"10.1109\/IJCNN.2011.6033589"},{"issue":"2","key":"2838_CR49","doi-asserted-by":"publisher","first-page":"294","DOI":"10.18287\/2412-6179-2016-40-2-294-300","volume":"40","author":"VI Shakhuro","year":"2016","unstructured":"Shakhuro VI, Konouchine A (2016) Russian traffic sign images dataset. Comput Opt 40 (2):294\u2013300","journal-title":"Comput Opt"},{"key":"2838_CR50","doi-asserted-by":"crossref","unstructured":"Teixeira L, Raposo AB, Gattass M (2013) Indoor localization using slam in parallel with a natural marker detector. In: Proceedings of the 28th Annual ACM Symposium on Applied Computing, pp 27\u201333","DOI":"10.1145\/2480362.2480370"},{"key":"2838_CR51","unstructured":"Viola PA, Jones MJ (2001) Rapid object detection using a boosted cascade of simple features. In: 2001. CVPR 2001. Proceedings of the 2001 IEEE Computer Society Conference on Computer Vision and Pattern Recognition"},{"key":"2838_CR52","doi-asserted-by":"crossref","unstructured":"Wang S, Zhou Y, Yan J, Deng Z (2018) Fully motion-aware network for video object detection. In: Proceedings of the European Conference on Computer Vision (ECCV), pp 542\u2013557","DOI":"10.1007\/978-3-030-01261-8_33"},{"key":"2838_CR53","doi-asserted-by":"crossref","unstructured":"Wu H, Chen Y, Wang N, Zhang Z (2019) Sequence level semantics aggregation for video object detection. In: Proceedings of the IEEE International Conference on Computer Vision, pp 9217\u20139225","DOI":"10.1109\/ICCV.2019.00931"},{"issue":"25","key":"2838_CR54","doi-asserted-by":"publisher","first-page":"18,201","DOI":"10.1007\/s11042-020-08722-y","volume":"79","author":"Y Wu","year":"2020","unstructured":"Wu Y, Li Z, Chen Y, Nai K, Yuan J (2020) Real-time traffic sign detection and classification towards real traffic scene. Multimed Tools Appl 79(25):18,201\u201318,219","journal-title":"Multimed Tools Appl"},{"key":"2838_CR55","doi-asserted-by":"crossref","unstructured":"Youssef A, Albani D, Nardi D, Bloisi DD (2016) Fast traffic sign recognition using color segmentation and deep convolutional networks. In: International conference on advanced concepts for intelligent vision systems","DOI":"10.1007\/978-3-319-48680-2_19"},{"issue":"4","key":"2838_CR56","doi-asserted-by":"publisher","first-page":"783","DOI":"10.3390\/s19040783","volume":"19","author":"X Yu","year":"2019","unstructured":"Yu X, Fan Z, Wan H, He Y, Du J, Li N, Yuan Z, Xiao G (2019) Positioning, navigation, and book accessing\/returning in an autonomous library robot using integrated binocular vision and qr code identification systems. Sensors 19(4):783","journal-title":"Sensors"},{"key":"2838_CR57","doi-asserted-by":"crossref","unstructured":"Zaklouta F, Stanciulescu B (2011) Warning traffic sign recognition using a hog-based k-d tree. In: Intelligent vehicles symposium","DOI":"10.1109\/IVS.2011.5940454"},{"key":"2838_CR58","doi-asserted-by":"crossref","unstructured":"Zhang Y, Qi Y, Yang J, Hwang JN (2020) Improved traffic sign detection in videos through reasoning effective roi proposals. In: 2020 IEEE International conference on multimedia and expo (ICME). IEEE, pp 1\u20136","DOI":"10.1109\/ICME46284.2020.9102896"},{"key":"2838_CR59","doi-asserted-by":"crossref","unstructured":"Zhang Y, Wang Z, Qi Y, Liu J, Yang J (2018) Ctsd: a dataset for traffic sign recognition in complex real-world images. In: 2018 IEEE Visual communications and image processing (VCIP). IEEE, pp 1\u20134","DOI":"10.1109\/VCIP.2018.8698666"},{"key":"2838_CR60","doi-asserted-by":"crossref","unstructured":"Zhang Y, Yang J, Zhang H, Hwang JN (2019) Bundle adjustment for monocular visual odometry based on detected traffic sign features. In: IEEE International conference on image processing (ICIP). IEEE","DOI":"10.1109\/ICIP.2019.8803563"},{"key":"2838_CR61","doi-asserted-by":"crossref","unstructured":"Zhu X, Wang Y, Dai J, Yuan L, Wei Y (2017) Flow-guided feature aggregation for video object detection. In: Proceedings of the IEEE International Conference on Computer Vision, pp 408\u2013417","DOI":"10.1109\/ICCV.2017.52"},{"key":"2838_CR62","doi-asserted-by":"crossref","unstructured":"Zhu X, Xiong Y, Dai J, Yuan L, Wei Y (2017) Deep feature flow for video recognition. In: Proceedings of the IEEE conference on computer vision and pattern recognition, pp 2349\u20132358","DOI":"10.1109\/CVPR.2017.441"},{"key":"2838_CR63","doi-asserted-by":"crossref","unstructured":"Zhu Z, Liang D, Zhang S, Huang X, Li B, Hu S (2016) Traffic-sign detection and classification in the wild. In: Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, pp 2110\u20132118","DOI":"10.1109\/CVPR.2016.232"},{"key":"2838_CR64","doi-asserted-by":"crossref","unstructured":"Zhu Z, Liang D, Zhang S, Huang X, Li B, Hu S (2016) Traffic-sign detection and classification in the wild. In: Proceedings of the IEEE conference on computer vision and pattern recognition, pp 2110\u20132118","DOI":"10.1109\/CVPR.2016.232"}],"container-title":["Applied Intelligence"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/s10489-021-02838-w.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/link.springer.com\/article\/10.1007\/s10489-021-02838-w\/fulltext.html","content-type":"text\/html","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/s10489-021-02838-w.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2024,9,10]],"date-time":"2024-09-10T18:35:53Z","timestamp":1725993353000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/s10489-021-02838-w"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2021,10,23]]},"references-count":64,"journal-issue":{"issue":"7","published-print":{"date-parts":[[2022,5]]}},"alternative-id":["2838"],"URL":"https:\/\/doi.org\/10.1007\/s10489-021-02838-w","relation":{},"ISSN":["0924-669X","1573-7497"],"issn-type":[{"type":"print","value":"0924-669X"},{"type":"electronic","value":"1573-7497"}],"subject":[],"published":{"date-parts":[[2021,10,23]]},"assertion":[{"value":"10 September 2021","order":1,"name":"accepted","label":"Accepted","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"23 October 2021","order":2,"name":"first_online","label":"First Online","group":{"name":"ArticleHistory","label":"Article History"}}]}}