{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,4,17]],"date-time":"2026-04-17T15:51:16Z","timestamp":1776441076931,"version":"3.51.2"},"publisher-location":"Cham","reference-count":20,"publisher":"Springer International Publishing","isbn-type":[{"value":"9783030012335","type":"print"},{"value":"9783030012342","type":"electronic"}],"license":[{"start":{"date-parts":[[2018,1,1]],"date-time":"2018-01-01T00:00:00Z","timestamp":1514764800000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.springer.com\/tdm"},{"start":{"date-parts":[[2018,1,1]],"date-time":"2018-01-01T00:00:00Z","timestamp":1514764800000},"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":[],"published-print":{"date-parts":[[2018]]},"DOI":"10.1007\/978-3-030-01234-2_17","type":"book-chapter","created":{"date-parts":[[2018,10,5]],"date-time":"2018-10-05T16:13:11Z","timestamp":1538755991000},"page":"278-293","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":205,"title":["Iterative Crowd Counting"],"prefix":"10.1007","author":[{"given":"Viresh","family":"Ranjan","sequence":"first","affiliation":[]},{"given":"Hieu","family":"Le","sequence":"additional","affiliation":[]},{"given":"Minh","family":"Hoai","sequence":"additional","affiliation":[]}],"member":"297","published-online":{"date-parts":[[2018,10,6]]},"reference":[{"key":"17_CR1","doi-asserted-by":"crossref","unstructured":"Boominathan, L., Kruthiventi, S.S., Babu, R.V.: CrowdNet: a deep convolutional network for dense crowd counting. In: Proceedings of the ACM Multimedia Conference (2016)","DOI":"10.1145\/2964284.2967300"},{"key":"17_CR2","doi-asserted-by":"crossref","unstructured":"Chan, A.B., Vasconcelos, N.: Bayesian Poisson regression for crowd counting. In: Proceedings of the International Conference on Computer Vision (2009)","DOI":"10.1109\/ICCV.2009.5459191"},{"key":"17_CR3","doi-asserted-by":"crossref","unstructured":"Chen, K., Loy, C.C., Gong, S., Xiang, T.: Feature mining for localised crowd counting. In: Proceedings of the British Machine Vision Conference (2012)","DOI":"10.5244\/C.26.21"},{"key":"17_CR4","doi-asserted-by":"publisher","first-page":"81","DOI":"10.1016\/j.engappai.2015.04.006","volume":"43","author":"M Fu","year":"2015","unstructured":"Fu, M., Xu, P., Li, X., Liu, Q., Ye, M., Zhu, C.: Fast crowd density estimation with convolutional neural networks. Eng. Appl. Artif. Intell. 43, 81\u201388 (2015)","journal-title":"Eng. Appl. Artif. Intell."},{"key":"17_CR5","doi-asserted-by":"crossref","unstructured":"Hoai, M., Zisserman, A.: Talking heads: detecting humans and recognizing their interactions. In: Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (2014)","DOI":"10.1109\/CVPR.2014.117"},{"key":"17_CR6","doi-asserted-by":"crossref","unstructured":"Idrees, H., Saleemi, I., Seibert, C., Shah, M.: Multi-source multi-scale counting in extremely dense crowd images. In: Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (2013)","DOI":"10.1109\/CVPR.2013.329"},{"issue":"4","key":"17_CR7","doi-asserted-by":"publisher","first-page":"498","DOI":"10.2307\/1418556","volume":"62","author":"EL Kaufman","year":"1949","unstructured":"Kaufman, E.L., Lord, M.W., Reese, T.W., Volkmann, J.: The discrimination of visual number. Am. J. Psychol. 62(4), 498\u2013525 (1949)","journal-title":"Am. J. Psychol."},{"key":"17_CR8","unstructured":"Krizhevsky, A., Sutskever, I., Hinton, G.: ImageNet classification with deep convolutional neural networks. In: Advances in Neural Information Processing Systems (2012)"},{"issue":"4","key":"17_CR9","doi-asserted-by":"publisher","first-page":"541","DOI":"10.1162\/neco.1989.1.4.541","volume":"1","author":"Y LeCun","year":"1989","unstructured":"LeCun, Y., Boser, B., Denker, J.S., Henderson, D.: Backpropagation applied to handwritten zip code recognition. Neural Comput. 1(4), 541\u2013551 (1989)","journal-title":"Neural Comput."},{"key":"17_CR10","unstructured":"Lempitsky, V., Zisserman, A.: Learning to count objects in images. In: Advances in Neural Information Processing Systems (2010)"},{"key":"17_CR11","doi-asserted-by":"crossref","unstructured":"Li, M., Zhang, Z., Huang, K., Tan, T.: Estimating the number of people in crowded scenes by mid based foreground segmentation and head-shoulder detection. In: Proceedings of the International Conference on Pattern Recognition (2008)","DOI":"10.1109\/ICPR.2008.4761705"},{"issue":"6","key":"17_CR12","doi-asserted-by":"publisher","first-page":"645","DOI":"10.1109\/3468.983420","volume":"31","author":"SF Lin","year":"2001","unstructured":"Lin, S.F., Chen, J.Y., Chao, H.X.: Estimation of number of people in crowded scenes using perspective transformation. IEEE Trans. Syst. Man Cybern. Part A Syst. Hum. 31(6), 645\u2013654 (2001)","journal-title":"IEEE Trans. Syst. Man Cybern. Part A Syst. Hum."},{"key":"17_CR13","doi-asserted-by":"crossref","unstructured":"Onoro-Rubio, D., L\u00f3pez-Sastre, R.J.: Towards perspective-free object counting with deep learning. In: Proceedings of the European Conference on Computer Vision (2016)","DOI":"10.1007\/978-3-319-46478-7_38"},{"key":"17_CR14","doi-asserted-by":"crossref","unstructured":"Pham, V.Q., Kozakaya, T., Yamaguchi, O., Okada, R.: Count forest: Co-voting uncertain number of targets using random forest for crowd density estimation. In: Proceedings of the International Conference on Computer Vision (2015)","DOI":"10.1109\/ICCV.2015.372"},{"key":"17_CR15","doi-asserted-by":"crossref","unstructured":"Sam, D.B., Surya, S., Babu, R.V.: Switching convolutional neural network for crowd counting. In: Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (2017)","DOI":"10.1109\/CVPR.2017.429"},{"key":"17_CR16","doi-asserted-by":"crossref","unstructured":"Sindagi, V.A., Patel, V.M.: Generating high-quality crowd density maps using contextual pyramid CNNs. In: Proceedings of the International Conference on Computer Vision (2017)","DOI":"10.1109\/ICCV.2017.206"},{"issue":"1","key":"17_CR17","doi-asserted-by":"publisher","first-page":"80","DOI":"10.1037\/0033-295X.101.1.80","volume":"101","author":"LM Trick","year":"1994","unstructured":"Trick, L.M., Pylyshyn, Z.W.: Why are small and large numbers enumerated differently? A limited-capacity preattentive stage in vision. Psychol. Rev. 101(1), 80 (1994)","journal-title":"Psychol. Rev."},{"key":"17_CR18","doi-asserted-by":"crossref","unstructured":"Wang, C., Zhang, H., Yang, L., Liu, S., Cao, X.: Deep people counting in extremely dense crowds. In: Proceedings of the ACM Multimedia Conference (2015)","DOI":"10.1145\/2733373.2806337"},{"key":"17_CR19","unstructured":"Zhang, C., Li, H., Wang, X., Yang, X.: Cross-scene crowd counting via deep convolutional neural networks. In: Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (2015)"},{"key":"17_CR20","doi-asserted-by":"crossref","unstructured":"Zhang, Y., Zhou, D., Chen, S., Gao, S., Ma, Y.: Single-image crowd counting via multi-column convolutional neural network. In: Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (2016)","DOI":"10.1109\/CVPR.2016.70"}],"container-title":["Lecture Notes in Computer Science","Computer Vision \u2013 ECCV 2018"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/978-3-030-01234-2_17","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2022,10,5]],"date-time":"2022-10-05T00:23:12Z","timestamp":1664929392000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/978-3-030-01234-2_17"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2018]]},"ISBN":["9783030012335","9783030012342"],"references-count":20,"URL":"https:\/\/doi.org\/10.1007\/978-3-030-01234-2_17","relation":{},"ISSN":["0302-9743","1611-3349"],"issn-type":[{"value":"0302-9743","type":"print"},{"value":"1611-3349","type":"electronic"}],"subject":[],"published":{"date-parts":[[2018]]},"assertion":[{"value":"6 October 2018","order":1,"name":"first_online","label":"First Online","group":{"name":"ChapterHistory","label":"Chapter History"}},{"value":"ECCV","order":1,"name":"conference_acronym","label":"Conference Acronym","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"European Conference on Computer Vision","order":2,"name":"conference_name","label":"Conference Name","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Munich","order":3,"name":"conference_city","label":"Conference City","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Germany","order":4,"name":"conference_country","label":"Conference Country","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"2018","order":5,"name":"conference_year","label":"Conference Year","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"8 September 2018","order":7,"name":"conference_start_date","label":"Conference Start Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"14 September 2018","order":8,"name":"conference_end_date","label":"Conference End Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"15","order":9,"name":"conference_number","label":"Conference Number","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"eccv2018","order":10,"name":"conference_id","label":"Conference ID","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"https:\/\/eccv2018.org\/","order":11,"name":"conference_url","label":"Conference URL","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"This content has been made available to all.","name":"free","label":"Free to read"}]}}