{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,12,18]],"date-time":"2025-12-18T19:44:32Z","timestamp":1766087072214,"version":"3.37.3"},"reference-count":28,"publisher":"Springer Science and Business Media LLC","issue":"5","license":[{"start":{"date-parts":[[2016,2,3]],"date-time":"2016-02-03T00:00:00Z","timestamp":1454457600000},"content-version":"tdm","delay-in-days":0,"URL":"http:\/\/www.springer.com\/tdm"}],"funder":[{"name":"Special Social Science Foundation of Heilongjiang Province of China","award":["11D083"],"award-info":[{"award-number":["11D083"]}]},{"DOI":"10.13039\/501100001809","name":"National Science Foundation of China","doi-asserted-by":"crossref","award":["61472103"],"award-info":[{"award-number":["61472103"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"crossref"}]}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":["Multimed Tools Appl"],"published-print":{"date-parts":[[2017,3]]},"DOI":"10.1007\/s11042-015-3199-8","type":"journal-article","created":{"date-parts":[[2016,2,3]],"date-time":"2016-02-03T04:22:34Z","timestamp":1454473354000},"page":"6263-6279","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":16,"title":["Anomaly detection based on spatio-temporal sparse representation and visual attention analysis"],"prefix":"10.1007","volume":"76","author":[{"given":"Chen","family":"Wang","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Hongxun","family":"Yao","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Xiaoshuai","family":"Sun","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"297","published-online":{"date-parts":[[2016,2,3]]},"reference":[{"issue":"3","key":"3199_CR1","doi-asserted-by":"crossref","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 (2008) Robust real-time unusual event detection using multiple fixed location monitors. IEEE Trans Pattern Anal Mach Intell 30(3):555\u2013560","journal-title":"IEEE Trans Pattern Anal Mach Intell"},{"issue":"1","key":"3199_CR2","doi-asserted-by":"crossref","first-page":"17","DOI":"10.1007\/s11263-006-0009-9","volume":"74","author":"O Boiman","year":"2007","unstructured":"Boiman O, Irani M (2007) Detecting irregularities in images and in video. IJCV 74(1):17\u201331","journal-title":"IJCV"},{"issue":"3","key":"3199_CR3","doi-asserted-by":"crossref","first-page":"1","DOI":"10.1167\/9.3.5","volume":"9","author":"N Bruce","year":"2009","unstructured":"Bruce N, Tsotsos J (2009) Saliency, attention, and visual search: an information thretic approach. J Vis 9(3):1\u201324","journal-title":"J Vis"},{"key":"3199_CR4","unstructured":"Bruce N, Tsotsos J (2006) Saliency based on information maximization. In: Advances in neural information processing systems (NIPS), pp 155\u2013162"},{"key":"3199_CR5","doi-asserted-by":"crossref","unstructured":"Cong Y, Yuan J, Liu J (2011) Sparse reconstruction cost for abnormal event detection. In: IEEE conference on computer vision and pattern recognition (CVPR), pp 1\u20138","DOI":"10.1109\/CVPR.2011.5995434"},{"key":"3199_CR6","doi-asserted-by":"crossref","unstructured":"Duan L, Wu C, Miao J, Qing L, Fu Y (2011) Visual saliency detection by spatially weighted dissimilarity. In: IEEE conference on computer vision and pattern recognition (CVPR), pp 441\u2013448","DOI":"10.1109\/CVPR.2011.5995676"},{"key":"3199_CR7","unstructured":"Gao D, Mahadevan V, Vasconcelos N (2007) The discriminate center-surround hypothesis for bottom-up saliency. In: Advances in neural information processing systems, pp 497\u2013504"},{"key":"3199_CR8","unstructured":"Guo C, Ma Q, Zhang L (2008) Spatio-temporal saliency detection using phase spectrum of quaternion fourier transform. In: IEEE conference on computer vision and pattern recognition (CVPR), pp 1\u20138"},{"issue":"5\u20136","key":"3199_CR9","doi-asserted-by":"crossref","first-page":"279","DOI":"10.1007\/s00138-008-0152-0","volume":"19","author":"N Haering","year":"2008","unstructured":"Haering N, Venetianer P, Lipton A (2008) The evolution of video surveillance: an overview. Mach Vis Appl 19(5\u20136):279\u2013290","journal-title":"Mach Vis Appl"},{"key":"3199_CR10","unstructured":"Hou X, Zhang L (2006) Dynamic visual attention: searching for coding length increments. In: Advances in neural information processing systems (NIPS), pp 681\u2013688"},{"key":"3199_CR11","doi-asserted-by":"crossref","unstructured":"Hou X, Zhang L (2007) Saliency detection: a spectral residual approach. In: IEEE conference on computer vision and pattern recognition (CVPR), pp 1\u20138","DOI":"10.1109\/CVPR.2007.383267"},{"key":"3199_CR12","doi-asserted-by":"crossref","first-page":"1483","DOI":"10.1162\/neco.1997.9.7.1483","volume":"9","author":"A Hyv\u00e4rinen","year":"1997","unstructured":"Hyv\u00e4rinen A, Oja E (1997) A fast fixed-point algorithm for independent component analysis. Neural Comput 9:1483\u20131492","journal-title":"Neural Comput"},{"issue":"11","key":"3199_CR13","doi-asserted-by":"crossref","first-page":"1254","DOI":"10.1109\/34.730558","volume":"20","author":"L Itti","year":"1998","unstructured":"Itti L, Koch C, Niebur E (1998) A model of saliency-based visual attention for rapid scene analysis. IEEE Trans Pattern Anal Mach Intell 20(11):1254\u20131259","journal-title":"IEEE Trans Pattern Anal Mach Intell"},{"issue":"4","key":"3199_CR14","doi-asserted-by":"crossref","first-page":"907","DOI":"10.1109\/TIP.2008.2012070","volume":"18","author":"F Jiang","year":"2009","unstructured":"Jiang F, Wu Y, Katsaggelos A (2009) A dynamic hierarchical clustering method for trajectory-based unusual video event detection. IEEE Trans Image Process 18(4):907\u2013913","journal-title":"IEEE Trans Image Process"},{"key":"3199_CR15","doi-asserted-by":"crossref","unstructured":"Judd T, Ehinger K, Durand F, Torralba A (2009) Learning to predict where humans look. In: IEEE international conference on computer vision (ICCV), pp 2106\u20132113","DOI":"10.1109\/ICCV.2009.5459462"},{"key":"3199_CR16","doi-asserted-by":"crossref","unstructured":"Kim J, Grauman K (2009) Observe locally, infer globally: a space-time MRF for detecting abnormal activities with incremental updates. In: IEEE conference on computer vision and pattern recognition (CVPR), pp 2921\u20132928","DOI":"10.1109\/CVPR.2009.5206569"},{"key":"3199_CR17","doi-asserted-by":"crossref","unstructured":"Kratz L, Nishino K (2009) Anomaly detection in extremely crowded scenes using spatio-temporal motion pattern models. In: IEEE conference on computer vision and pattern recognition (CVPR), pp 1446\u20131453","DOI":"10.1109\/CVPR.2009.5206771"},{"key":"3199_CR18","doi-asserted-by":"crossref","unstructured":"Mahadevan V, Li W, Bhalodia V, Vasconcelos N (2010) Anomaly detection in crowded scenes. In: IEEE conference on computer vision and pattern recognition (CVPR), pp 1\u20138","DOI":"10.1109\/CVPR.2010.5539872"},{"key":"3199_CR19","doi-asserted-by":"crossref","unstructured":"Mehran R, Oyama A, Shah M (2009) Abnormal crowd behavior detection using social force model. In: IEEE conference on computer vision and pattern recognition (CVPR), pp 935\u2013942","DOI":"10.1109\/CVPR.2009.5206641"},{"issue":"6583","key":"3199_CR20","doi-asserted-by":"crossref","first-page":"607","DOI":"10.1038\/381607a0","volume":"381","author":"BA Olshausen","year":"1996","unstructured":"Olshausen BA, FieldB DJ (1996) Emergence of simple-cell receptive field properties by learning a sparse code for natural images. Nature 381(6583):607\u2013609","journal-title":"Nature"},{"key":"3199_CR21","doi-asserted-by":"crossref","unstructured":"Saligrama V, Chen Z (2012) Video anomaly detection based on local statistical aggregates. In: IEEE conference on computer vision and pattern recognition (CVPR), pp 2112\u20132119","DOI":"10.1109\/CVPR.2012.6247917"},{"key":"3199_CR22","doi-asserted-by":"crossref","unstructured":"Seidenari L, Bertini M (2010) Non-parametric anomaly detection exploiting space-time features. ACM Multimed 1139\u20131142","DOI":"10.1145\/1873951.1874170"},{"key":"3199_CR23","doi-asserted-by":"crossref","unstructured":"Sun X, Yao H, Ji R, Liu X, Xu P (2011) Unsupervised fast anomaly detection in crowds. In: Proceedings of the 19th ACM international conference on multimedia, pp 1469\u20131472","DOI":"10.1145\/2072298.2072042"},{"key":"3199_CR24","doi-asserted-by":"crossref","unstructured":"Wang W, Chen C, Wang Y, Jiang T, Fang F, Yao Y (2011) Simulating human saccadic scanpaths on natural images. In: IEEE conference on computer vision and pattern recognition (CVPR), pp 441\u2013448","DOI":"10.1109\/CVPR.2011.5995423"},{"key":"3199_CR25","doi-asserted-by":"crossref","unstructured":"Wang W, Wang Y, Huang Q, Gao W (2010) Measuring visual saliency by site entropy rate. In: IEEE conference on computer vision and pattern recognition (CVPR), pp 2368\u20132375","DOI":"10.1109\/CVPR.2010.5539927"},{"issue":"6","key":"3199_CR26","doi-asserted-by":"crossref","first-page":"1031","DOI":"10.1109\/JPROC.2010.2044470","volume":"98","author":"J Wright","year":"2010","unstructured":"Wright J, Ma Y, Mairal J, Sapiro G, Huang TS, Yan S (2010) Sparse representation for computer vision and pattern recognition. Proc IEEE 98(6):1031\u20131044","journal-title":"Proc IEEE"},{"issue":"7","key":"3199_CR27","doi-asserted-by":"crossref","first-page":"1","DOI":"10.1167\/8.7.32","volume":"8","author":"L Zhang","year":"2008","unstructured":"Zhang L, Tong M, Marks T, Shan H, Cottrell G (2008) Sun: a bayesian framework for saliency using natural statistics. J Vis 8(7):1\u201320","journal-title":"J Vis"},{"key":"3199_CR28","doi-asserted-by":"crossref","unstructured":"Zhao Q, Koch C (2011) Learning a saliency map using fixated locations in natural scenes. J Vis 11(3)","DOI":"10.1167\/11.3.9"}],"container-title":["Multimedia Tools and Applications"],"original-title":[],"language":"en","link":[{"URL":"http:\/\/link.springer.com\/article\/10.1007\/s11042-015-3199-8\/fulltext.html","content-type":"text\/html","content-version":"vor","intended-application":"text-mining"},{"URL":"http:\/\/link.springer.com\/content\/pdf\/10.1007\/s11042-015-3199-8.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"text-mining"},{"URL":"http:\/\/link.springer.com\/content\/pdf\/10.1007\/s11042-015-3199-8","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"},{"URL":"http:\/\/link.springer.com\/content\/pdf\/10.1007\/s11042-015-3199-8.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2019,9,4]],"date-time":"2019-09-04T03:06:55Z","timestamp":1567566415000},"score":1,"resource":{"primary":{"URL":"http:\/\/link.springer.com\/10.1007\/s11042-015-3199-8"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2016,2,3]]},"references-count":28,"journal-issue":{"issue":"5","published-print":{"date-parts":[[2017,3]]}},"alternative-id":["3199"],"URL":"https:\/\/doi.org\/10.1007\/s11042-015-3199-8","relation":{},"ISSN":["1380-7501","1573-7721"],"issn-type":[{"type":"print","value":"1380-7501"},{"type":"electronic","value":"1573-7721"}],"subject":[],"published":{"date-parts":[[2016,2,3]]}}}