{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,7,8]],"date-time":"2025-07-08T04:11:35Z","timestamp":1751947895364,"version":"3.41.2"},"publisher-location":"Cham","reference-count":21,"publisher":"Springer International Publishing","isbn-type":[{"type":"print","value":"9783030007638"},{"type":"electronic","value":"9783030007645"}],"license":[{"start":{"date-parts":[[2018,1,1]],"date-time":"2018-01-01T00:00:00Z","timestamp":1514764800000},"content-version":"unspecified","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":[[2018]]},"DOI":"10.1007\/978-3-030-00764-5_49","type":"book-chapter","created":{"date-parts":[[2018,9,17]],"date-time":"2018-09-17T16:21:31Z","timestamp":1537201291000},"page":"533-540","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":0,"title":["Extended Multi-column Convolutional Neural Network for Crowd Counting"],"prefix":"10.1007","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-3794-5855","authenticated-orcid":false,"given":"Zhiyuan","family":"Xue","sequence":"first","affiliation":[]},{"ORCID":"https:\/\/orcid.org\/0000-0002-3409-4469","authenticated-orcid":false,"given":"Jie","family":"Shen","sequence":"additional","affiliation":[]},{"ORCID":"https:\/\/orcid.org\/0000-0001-9329-0438","authenticated-orcid":false,"given":"Xin","family":"Xiong","sequence":"additional","affiliation":[]},{"ORCID":"https:\/\/orcid.org\/0000-0002-4915-4276","authenticated-orcid":false,"given":"Chong","family":"Yuan","sequence":"additional","affiliation":[]},{"ORCID":"https:\/\/orcid.org\/0000-0001-9380-8743","authenticated-orcid":false,"given":"Yinlong","family":"Bian","sequence":"additional","affiliation":[]}],"member":"297","published-online":{"date-parts":[[2018,9,18]]},"reference":[{"key":"49_CR1","doi-asserted-by":"crossref","unstructured":"Chen, K., Loy, C.C., Gong, S., Xiang, T.: Feature mining for localised crowd counting. In: BMVC, vol. 1, p. 3 (2012)","DOI":"10.5244\/C.26.21"},{"key":"49_CR2","doi-asserted-by":"crossref","unstructured":"Ciregan, D., Meier, U., Schmidhuber, J.: Multi-column deep neural networks for image classification. In: 2012 IEEE Conference on Computer vision and pattern recognition (CVPR), pp. 3642\u20133649. IEEE (2012)","DOI":"10.1109\/CVPR.2012.6248110"},{"key":"49_CR3","doi-asserted-by":"crossref","unstructured":"Dalal, N., Triggs, B.: Histograms of oriented gradients for human detection. In: 2005 IEEE Computer Society Conference on Computer Vision and Pattern Recognition, CVPR 2005, vol. 1, pp. 886\u2013893. IEEE (2005)","DOI":"10.1109\/CVPR.2005.177"},{"issue":"9","key":"49_CR4","doi-asserted-by":"publisher","first-page":"1627","DOI":"10.1109\/TPAMI.2009.167","volume":"32","author":"PF Felzenszwalb","year":"2010","unstructured":"Felzenszwalb, P.F., Girshick, R.B., McAllester, D., Ramanan, D.: Object detection with discriminatively trained part-based models. IEEE Trans. Pattern Anal. Mach. Intell. 32(9), 1627\u20131645 (2010)","journal-title":"IEEE Trans. Pattern Anal. Mach. Intell."},{"issue":"11","key":"49_CR5","doi-asserted-by":"publisher","first-page":"2188","DOI":"10.1109\/TPAMI.2011.70","volume":"33","author":"J Gall","year":"2011","unstructured":"Gall, J., Yao, A., Razavi, N., Van Gool, L., Lempitsky, V.: Hough forests for object detection, tracking, and action recognition. IEEE Trans. Pattern Anal. Mach. Intell. 33(11), 2188\u20132202 (2011)","journal-title":"IEEE Trans. Pattern Anal. Mach. Intell."},{"key":"49_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: 2013 IEEE Conference on Computer Vision and Pattern Recognition (CVPR), pp. 2547\u20132554. IEEE (2013)","DOI":"10.1109\/CVPR.2013.329"},{"key":"49_CR7","unstructured":"Kumagai, S., Hotta, K., Kurita, T.: Mixture of counting CNNs: adaptive integration of CNNs specialized to specific appearance for crowd counting. arXiv preprint arXiv:1703.09393 (2017)"},{"issue":"6","key":"49_CR8","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":"49_CR9","series-title":"Lecture Notes in Computer Science","doi-asserted-by":"publisher","first-page":"654","DOI":"10.1007\/978-3-319-77383-4_64","volume-title":"Advances in Multimedia Information Processing \u2013 PCM 2017","author":"M Lu","year":"2018","unstructured":"Lu, M., Yan, B.: Deep residual convolution neural network for single-image robust crowd counting. In: Zeng, B., Huang, Q., El Saddik, A., Li, H., Jiang, S., Fan, X. (eds.) PCM 2017. LNCS, vol. 10736, pp. 654\u2013662. Springer, Cham (2018). https:\/\/doi.org\/10.1007\/978-3-319-77383-4_64"},{"key":"49_CR10","doi-asserted-by":"crossref","unstructured":"Marsden, M., McGuiness, K., Little, S., O\u2019Connor, N.E.: Fully convolutional crowd counting on highly congested scenes. arXiv preprint arXiv:1612.00220 (2016)","DOI":"10.5220\/0006097300270033"},{"key":"49_CR11","series-title":"Lecture Notes in Computer Science","doi-asserted-by":"publisher","first-page":"615","DOI":"10.1007\/978-3-319-46478-7_38","volume-title":"Computer Vision \u2013 ECCV 2016","author":"D O\u00f1oro-Rubio","year":"2016","unstructured":"O\u00f1oro-Rubio, D., L\u00f3pez-Sastre, R.J.: Towards perspective-free object counting with deep learning. In: Leibe, B., Matas, J., Sebe, N., Welling, M. (eds.) ECCV 2016. LNCS, vol. 9911, pp. 615\u2013629. Springer, Cham (2016). https:\/\/doi.org\/10.1007\/978-3-319-46478-7_38"},{"key":"49_CR12","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, vol. 1, p. 6 (2017)","DOI":"10.1109\/CVPR.2017.429"},{"key":"49_CR13","doi-asserted-by":"crossref","unstructured":"Shang, C., Ai, H., Bai, B.: End-to-end crowd counting via joint learning local and global count. In: 2016 IEEE International Conference on Image Processing (ICIP), pp. 1215\u20131219. IEEE (2016)","DOI":"10.1109\/ICIP.2016.7532551"},{"issue":"18","key":"49_CR14","doi-asserted-by":"publisher","first-page":"8025","DOI":"10.1007\/s11042-014-2036-9","volume":"74","author":"J Shen","year":"2015","unstructured":"Shen, J., Cai, Y.J., Luo, L.: A context-aware mobile web middleware for service of surveillance video with privacy. Multimed. Tools Appl. 74(18), 8025\u20138051 (2015)","journal-title":"Multimed. Tools Appl."},{"key":"49_CR15","unstructured":"Sheng, B., Shen, C., Lin, G., Li, J., Yang, W., Sun, C.: Crowd counting via weighted VLAD on dense attribute feature maps. IEEE Trans. Circuits Syst. Video Technol. (2016)"},{"key":"49_CR16","doi-asserted-by":"publisher","first-page":"3","DOI":"10.1016\/j.patrec.2017.07.007","volume":"107","author":"VA Sindagi","year":"2017","unstructured":"Sindagi, V.A., Patel, V.M.: A survey of recent advances in CNN-based single image crowd counting and density estimation. Pattern Recognit. Lett. 107, 3\u201316 (2017)","journal-title":"Pattern Recognit. Lett."},{"key":"49_CR17","doi-asserted-by":"crossref","unstructured":"Viola, P., Jones, M.J., Snow, D.: Detecting pedestrians using patterns of motion and appearance. In: Null, p. 734. IEEE (2003)","DOI":"10.1109\/ICCV.2003.1238422"},{"key":"49_CR18","series-title":"Lecture Notes in Computer Science","doi-asserted-by":"publisher","first-page":"660","DOI":"10.1007\/978-3-319-46475-6_41","volume-title":"Computer Vision \u2013 ECCV 2016","author":"E Walach","year":"2016","unstructured":"Walach, E., Wolf, L.: Learning to count with CNN boosting. In: Leibe, B., Matas, J., Sebe, N., Welling, M. (eds.) ECCV 2016. LNCS, vol. 9906, pp. 660\u2013676. Springer, Cham (2016). https:\/\/doi.org\/10.1007\/978-3-319-46475-6_41"},{"key":"49_CR19","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 23rd ACM International Conference on Multimedia, pp. 1299\u20131302. ACM (2015)","DOI":"10.1145\/2733373.2806337"},{"key":"49_CR20","unstructured":"Zhang, C., Li, H., Wang, X., Yang, X.: Cross-scene crowd counting via deep convolutional neural networks. In: 2015 IEEE Conference on Computer Vision and Pattern Recognition (CVPR), pp. 833\u2013841. IEEE (2015)"},{"key":"49_CR21","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, pp. 589\u2013597 (2016)","DOI":"10.1109\/CVPR.2016.70"}],"container-title":["Lecture Notes in Computer Science","Advances in Multimedia Information Processing \u2013 PCM 2018"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/978-3-030-00764-5_49","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,7,7]],"date-time":"2025-07-07T16:23:21Z","timestamp":1751905401000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/978-3-030-00764-5_49"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2018]]},"ISBN":["9783030007638","9783030007645"],"references-count":21,"URL":"https:\/\/doi.org\/10.1007\/978-3-030-00764-5_49","relation":{},"ISSN":["0302-9743","1611-3349"],"issn-type":[{"type":"print","value":"0302-9743"},{"type":"electronic","value":"1611-3349"}],"subject":[],"published":{"date-parts":[[2018]]},"assertion":[{"value":"18 September 2018","order":1,"name":"first_online","label":"First Online","group":{"name":"ChapterHistory","label":"Chapter History"}},{"value":"PCM","order":1,"name":"conference_acronym","label":"Conference Acronym","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Pacific Rim Conference on Multimedia","order":2,"name":"conference_name","label":"Conference Name","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Hefei","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":"2018","order":5,"name":"conference_year","label":"Conference Year","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"21 September 2018","order":7,"name":"conference_start_date","label":"Conference Start Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"22 September 2018","order":8,"name":"conference_end_date","label":"Conference End Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"19","order":9,"name":"conference_number","label":"Conference Number","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"pcm2018","order":10,"name":"conference_id","label":"Conference ID","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"http:\/\/pcm2018.org\/","order":11,"name":"conference_url","label":"Conference URL","group":{"name":"ConferenceInfo","label":"Conference Information"}}]}}