{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,4,9]],"date-time":"2026-04-09T03:36:57Z","timestamp":1775705817612,"version":"3.50.1"},"publisher-location":"Cham","reference-count":32,"publisher":"Springer International Publishing","isbn-type":[{"value":"9783030349943","type":"print"},{"value":"9783030349950","type":"electronic"}],"license":[{"start":{"date-parts":[[2019,1,1]],"date-time":"2019-01-01T00:00:00Z","timestamp":1546300800000},"content-version":"tdm","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":[[2019]]},"DOI":"10.1007\/978-3-030-34995-0_30","type":"book-chapter","created":{"date-parts":[[2019,11,22]],"date-time":"2019-11-22T14:02:40Z","timestamp":1574431360000},"page":"330-342","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":17,"title":["Detecting Video Anomaly with a Stacked Convolutional LSTM Framework"],"prefix":"10.1007","author":[{"ORCID":"https:\/\/orcid.org\/0000-0001-6307-7118","authenticated-orcid":false,"given":"Hao","family":"Wei","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-8452-620X","authenticated-orcid":false,"given":"Kai","family":"Li","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-9388-325X","authenticated-orcid":false,"given":"Haichang","family":"Li","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-5042-9521","authenticated-orcid":false,"given":"Yifan","family":"Lyu","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-5717-8676","authenticated-orcid":false,"given":"Xiaohui","family":"Hu","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"297","published-online":{"date-parts":[[2019,11,23]]},"reference":[{"issue":"3","key":"30_CR1","doi-asserted-by":"publisher","first-page":"555","DOI":"10.1109\/TPAMI.2007.70825","volume":"30","author":"A Adam","year":"2008","unstructured":"Adam, A., Rivlin, E., Shimshoni, I., Reinitz, D.: Robust real-time unusual event detection using multiple fixed-location monitors. IEEE Trans. Pattern Anal. Mach. Intell. 30(3), 555\u2013560 (2008). \nhttps:\/\/doi.org\/10.1109\/TPAMI.2007.70825","journal-title":"IEEE Trans. Pattern Anal. Mach. Intell."},{"issue":"3","key":"30_CR2","doi-asserted-by":"publisher","first-page":"15","DOI":"10.1145\/1541880.1541882","volume":"41","author":"V Chandola","year":"2009","unstructured":"Chandola, V., Banerjee, A., Kumar, V.: Anomaly detection: a survey. ACM Comput. Surv. (CSUR) 41(3), 15 (2009). \nhttps:\/\/doi.org\/10.1145\/1541880.1541882","journal-title":"ACM Comput. Surv. (CSUR)"},{"key":"30_CR3","series-title":"Lecture Notes in Computer Science","doi-asserted-by":"publisher","first-page":"189","DOI":"10.1007\/978-3-319-59081-3_23","volume-title":"Advances in Neural Networks - ISNN 2017","author":"YS Chong","year":"2017","unstructured":"Chong, Y.S., Tay, Y.H.: Abnormal event detection in videos using spatiotemporal autoencoder. In: Cong, F., Leung, A., Wei, Q. (eds.) ISNN 2017. LNCS, vol. 10262, pp. 189\u2013196. Springer, Cham (2017). \nhttps:\/\/doi.org\/10.1007\/978-3-319-59081-3_23"},{"key":"30_CR4","doi-asserted-by":"publisher","unstructured":"Cong, Y., Yuan, J., Liu, J.: Sparse reconstruction cost for abnormal event detection. In: CVPR 2011, pp. 3449\u20133456 (2011). \nhttps:\/\/doi.org\/10.1109\/CVPR.2011.5995434","DOI":"10.1109\/CVPR.2011.5995434"},{"key":"30_CR5","doi-asserted-by":"publisher","unstructured":"Dalal, N., Triggs, B.: Histograms of oriented gradients for human detection. In: Schmid, C., Soatto, S., Tomasi, C. (eds.) International Conference on Computer Vision & Pattern Recognition (CVPR 2005), vol. 1, pp. 886\u2013893. IEEE Computer Society, San Diego, June 2005. \nhttps:\/\/doi.org\/10.1109\/CVPR.2005.177","DOI":"10.1109\/CVPR.2005.177"},{"key":"30_CR6","series-title":"Lecture Notes in Computer Science","doi-asserted-by":"publisher","first-page":"428","DOI":"10.1007\/11744047_33","volume-title":"Computer Vision \u2013 ECCV 2006","author":"N Dalal","year":"2006","unstructured":"Dalal, N., Triggs, B., Schmid, C.: Human detection using oriented histograms of flow and appearance. In: Leonardis, A., Bischof, H., Pinz, A. (eds.) ECCV 2006. LNCS, vol. 3952, pp. 428\u2013441. Springer, Heidelberg (2006). \nhttps:\/\/doi.org\/10.1007\/11744047_33"},{"key":"30_CR7","doi-asserted-by":"publisher","unstructured":"Zhang, D., Gatica-Perez, D., Bengio, S., McCowan, I.: Semi-supervised adapted hmms for unusual event detection. In: 2005 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR 2005), vol. 1, pp. 611\u2013618, June 2005. \nhttps:\/\/doi.org\/10.1109\/CVPR.2005.316","DOI":"10.1109\/CVPR.2005.316"},{"key":"30_CR8","doi-asserted-by":"publisher","unstructured":"Girshick, R.: Fast r-CNN. In: 2015 IEEE International Conference on Computer Vision (ICCV). IEEE, December 2015. \nhttps:\/\/doi.org\/10.1109\/iccv.2015.169","DOI":"10.1109\/iccv.2015.169"},{"key":"30_CR9","doi-asserted-by":"publisher","unstructured":"Hasan, M., Choi, J., Neumann, J., Roy-Chowdhury, A.K., Davis, L.S.: Learning temporal regularity in video sequences. In: 2016 IEEE Conference on Computer Vision and Pattern Recognition (CVPR), IEEE Jun 2016. \nhttps:\/\/doi.org\/10.1109\/cvpr.2016.86","DOI":"10.1109\/cvpr.2016.86"},{"key":"30_CR10","doi-asserted-by":"publisher","unstructured":"Kim, J., Grauman, K.: Observe locally, infer globally: a space-time MRF for detecting abnormal activities with incremental updates. In: 2009 IEEE Conference on Computer Vision and Pattern Recognition, pp. 2921\u20132928, June 2009. \nhttps:\/\/doi.org\/10.1109\/CVPR.2009.5206569","DOI":"10.1109\/CVPR.2009.5206569"},{"key":"30_CR11","doi-asserted-by":"publisher","unstructured":"Kratz, L., Nishino, K.: Anomaly detection in extremely crowded scenes using spatio-temporal motion pattern models. In: 2009 IEEE Conference on Computer Vision and Pattern Recognition, pp. 1446\u20131453, June 2009. \nhttps:\/\/doi.org\/10.1109\/CVPR.2009.5206771","DOI":"10.1109\/CVPR.2009.5206771"},{"issue":"6","key":"30_CR12","doi-asserted-by":"publisher","first-page":"84","DOI":"10.1145\/3065386","volume":"60","author":"Alex Krizhevsky","year":"2017","unstructured":"Krizhevsky, A., Sutskever, I., Hinton, G.E.: ImageNet classification with deep convolutional neural networks. In: Association for Computing Machinery (ACM), vol. 60, pp. 84\u201390, May 2017. \nhttps:\/\/doi.org\/10.1145\/3065386","journal-title":"Communications of the ACM"},{"key":"30_CR13","doi-asserted-by":"publisher","unstructured":"Li, C., Han, Z., Ye, Q., Jiao, J.: Abnormal behavior detection via sparse reconstruction analysis of trajectory. In: 2011 Sixth International Conference on Image and Graphics, pp. 807\u2013810, August 2011. \nhttps:\/\/doi.org\/10.1109\/ICIG.2011.104","DOI":"10.1109\/ICIG.2011.104"},{"key":"30_CR14","doi-asserted-by":"publisher","unstructured":"Liu, W., Luo, W., Lian, D., Gao, S.: Future frame prediction for anomaly detection - a new baseline. In: 2018 IEEE\/CVF Conference on Computer Vision and Pattern Recognition. IEEE, June 2018.\nhttps:\/\/doi.org\/10.1109\/cvpr.2018.00684","DOI":"10.1109\/cvpr.2018.00684"},{"key":"30_CR15","doi-asserted-by":"publisher","unstructured":"Lu, C., Shi, J., Jia, J.: Abnormal event detection at 150 fps in matlab. In: 2013 IEEE International Conference on Computer Vision, pp. 2720\u20132727, December 2013. \nhttps:\/\/doi.org\/10.1109\/ICCV.2013.338","DOI":"10.1109\/ICCV.2013.338"},{"key":"30_CR16","doi-asserted-by":"publisher","unstructured":"Luo, W., Liu, W., Gao, S.: Remembering history with convolutional lstm for anomaly detection. In: 2017 IEEE International Conference on Multimedia and Expo (ICME), pp. 439\u2013444, July 2017. \nhttps:\/\/doi.org\/10.1109\/ICME.2017.8019325","DOI":"10.1109\/ICME.2017.8019325"},{"key":"30_CR17","doi-asserted-by":"publisher","unstructured":"Luo, W., Liu, W., Gao, S.: A revisit of sparse coding based anomaly detection in stacked RNN framework. In: 2017 IEEE International Conference on Computer Vision (ICCV). IEEE, October 2017. \nhttps:\/\/doi.org\/10.1109\/iccv.2017.45","DOI":"10.1109\/iccv.2017.45"},{"key":"30_CR18","doi-asserted-by":"publisher","unstructured":"Mahadevan, V., Li, W., Bhalodia, V., Vasconcelos, N.: Anomaly detection in crowded scenes. In: 2010 IEEE Computer Society Conference on Computer Vision and Pattern Recognition, pp. 1975\u20131981, June 2010. \nhttps:\/\/doi.org\/10.1109\/CVPR.2010.5539872","DOI":"10.1109\/CVPR.2010.5539872"},{"key":"30_CR19","unstructured":"Medel, J.R.: Anomaly detection using predictive convolutional long short-term memory units (2016)"},{"issue":"11","key":"30_CR20","doi-asserted-by":"publisher","first-page":"1544","DOI":"10.1109\/TCSVT.2008.2005599","volume":"18","author":"C Piciarelli","year":"2008","unstructured":"Piciarelli, C., Micheloni, C., Foresti, G.L.: Trajectory-based anomalous event detection. IEEE Trans. Circ. Syst. Video Technol. 18(11), 1544\u20131554 (2008). \nhttps:\/\/doi.org\/10.1109\/TCSVT.2008.2005599","journal-title":"IEEE Trans. Circ. Syst. Video Technol."},{"key":"30_CR21","doi-asserted-by":"publisher","unstructured":"Reddy, V., Sanderson, C., Lovell, B.C.: Improved anomaly detection in crowded scenes via cell-based analysis of foreground speed, size and texture. In: CVPR 2011 WORKSHOPS, pp. 55\u201361, June 2011. \nhttps:\/\/doi.org\/10.1109\/CVPRW.2011.5981799","DOI":"10.1109\/CVPRW.2011.5981799"},{"issue":"6","key":"30_CR22","doi-asserted-by":"publisher","first-page":"1137","DOI":"10.1109\/TPAMI.2016.2577031","volume":"39","author":"Shaoqing Ren","year":"2017","unstructured":"Ren, S., He, K., Girshick, R., Sun, J.: Faster r-CNN: Towards real-time object detection with region proposal networks, vol. 39, pp. 1137\u20131149. Institute of Electrical and Electronics Engineers (IEEE), June 2017. \nhttps:\/\/doi.org\/10.1109\/tpami.2016.2577031","journal-title":"IEEE Transactions on Pattern Analysis and Machine Intelligence"},{"key":"30_CR23","doi-asserted-by":"publisher","unstructured":"Sabokrou, M., Fathy, M., Hoseini, M., Klette, R.: Real-time anomaly detection and localization in crowded scenes. In: 2015 IEEE Conference on Computer Vision and Pattern Recognition Workshops (CVPRW), pp. 56\u201362, June 2015. \nhttps:\/\/doi.org\/10.1109\/CVPRW.2015.7301284","DOI":"10.1109\/CVPRW.2015.7301284"},{"key":"30_CR24","first-page":"802","volume-title":"Advances in Neural Information Processing Systems 28","author":"X Shi","year":"2015","unstructured":"Shi, X., Chen, Z., Wang, H., Yeung, D.Y., Wong, W.K., Woo, W.C.: Convolutional LSTM network: a machine learning approach for precipitation nowcasting. In: Cortes, C., Lawrence, N.D., Lee, D.D., Sugiyama, M., Garnett, R. (eds.) Advances in Neural Information Processing Systems 28, pp. 802\u2013810. Curran Associates Inc., New York (2015). \nhttp:\/\/papers.nips.cc\/paper\/5955-convolutional-lstm-network-a-machine-learning-approach-for-precipitation-nowcasting.pdf"},{"key":"30_CR25","unstructured":"Simonyan, K., Zisserman, A.: Very deep convolutional networks for large-scale image recognition. arXiv preprint \narXiv:1409.1556\n\n (2014)"},{"key":"30_CR26","doi-asserted-by":"publisher","unstructured":"Sultani, W., Chen, C., Shah, M.: Real-world anomaly detection in surveillance videos. In: 2018 IEEE\/CVF Conference on Computer Vision and Pattern Recognition. IEEE, Jun 2018. \nhttps:\/\/doi.org\/10.1109\/cvpr.2018.00678","DOI":"10.1109\/cvpr.2018.00678"},{"issue":"4","key":"30_CR27","doi-asserted-by":"publisher","first-page":"230","DOI":"10.1016\/j.imavis.2010.11.003","volume":"29","author":"F Tung","year":"2011","unstructured":"Tung, F., Zelek, J.S., Clausi, D.A.: Goal-based trajectory analysis for unusual behaviour detection in intelligent surveillance. Image Vis. Comput. 29(4), 230\u2013240 (2011). \nhttps:\/\/doi.org\/10.1016\/j.imavis.2010.11.003","journal-title":"Image Vis. Comput."},{"key":"30_CR28","doi-asserted-by":"publisher","unstructured":"Wu, S., Moore, B.E., Shah, M.: Chaotic invariants of lagrangian particle trajectories for anomaly detection in crowded scenes. In: 2010 IEEE Computer Society Conference on Computer Vision and Pattern Recognition, pp. 2054\u20132060, June 2010. \nhttps:\/\/doi.org\/10.1109\/CVPR.2010.5539882","DOI":"10.1109\/CVPR.2010.5539882"},{"key":"30_CR29","doi-asserted-by":"publisher","unstructured":"Xu, D., Ricci, E., Yan, Y., Song, J., Sebe, N.: Learning deep representations of appearance and motion for anomalous event detection (2015). \nhttps:\/\/doi.org\/10.5244\/c.29.8","DOI":"10.5244\/c.29.8"},{"key":"30_CR30","doi-asserted-by":"publisher","unstructured":"Yen, S., Wang, C.: Abnormal event detection using HOSF. In: 2013 International Conference on IT Convergence and Security (ICITCS), pp. 1\u20134, December 2013. \nhttps:\/\/doi.org\/10.1109\/ICITCS.2013.6717798","DOI":"10.1109\/ICITCS.2013.6717798"},{"key":"30_CR31","doi-asserted-by":"publisher","first-page":"3313","DOI":"10.1109\/CVPR.2011.5995524","volume":"2011","author":"B Zhao","year":"2011","unstructured":"Zhao, B., Fei-Fei, L., Xing, E.P.: Online detection of unusual events in videos via dynamic sparse coding. CVPR 2011, 3313\u20133320 (2011). \nhttps:\/\/doi.org\/10.1109\/CVPR.2011.5995524","journal-title":"CVPR"},{"key":"30_CR32","doi-asserted-by":"publisher","unstructured":"Zhou, S., Shen, W., Zeng, D., Zhang, Z.: Unusual event detection in crowded scenes by trajectory analysis. In: 2015 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), pp. 1300\u20131304, April 2015. \nhttps:\/\/doi.org\/10.1109\/ICASSP.2015.7178180","DOI":"10.1109\/ICASSP.2015.7178180"}],"container-title":["Lecture Notes in Computer Science","Computer Vision Systems"],"original-title":[],"language":"en","link":[{"URL":"http:\/\/link.springer.com\/content\/pdf\/10.1007\/978-3-030-34995-0_30","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2019,11,22]],"date-time":"2019-11-22T14:12:47Z","timestamp":1574431967000},"score":1,"resource":{"primary":{"URL":"http:\/\/link.springer.com\/10.1007\/978-3-030-34995-0_30"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2019]]},"ISBN":["9783030349943","9783030349950"],"references-count":32,"URL":"https:\/\/doi.org\/10.1007\/978-3-030-34995-0_30","relation":{},"ISSN":["0302-9743","1611-3349"],"issn-type":[{"value":"0302-9743","type":"print"},{"value":"1611-3349","type":"electronic"}],"subject":[],"published":{"date-parts":[[2019]]},"assertion":[{"value":"23 November 2019","order":1,"name":"first_online","label":"First Online","group":{"name":"ChapterHistory","label":"Chapter History"}},{"value":"ICVS","order":1,"name":"conference_acronym","label":"Conference Acronym","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"International Conference on Computer Vision Systems","order":2,"name":"conference_name","label":"Conference Name","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Thessaloniki","order":3,"name":"conference_city","label":"Conference City","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Greece","order":4,"name":"conference_country","label":"Conference Country","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"2019","order":5,"name":"conference_year","label":"Conference Year","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"23 September 2019","order":7,"name":"conference_start_date","label":"Conference Start Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"25 September 2019","order":8,"name":"conference_end_date","label":"Conference End Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"12","order":9,"name":"conference_number","label":"Conference Number","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"icvs2019","order":10,"name":"conference_id","label":"Conference ID","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"https:\/\/icvs2019.org\/","order":11,"name":"conference_url","label":"Conference URL","group":{"name":"ConferenceInfo","label":"Conference Information"}}]}}