{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,6,12]],"date-time":"2025-06-12T04:13:56Z","timestamp":1749701636558,"version":"3.41.0"},"publisher-location":"Cham","reference-count":25,"publisher":"Springer International Publishing","isbn-type":[{"type":"print","value":"9783319486796"},{"type":"electronic","value":"9783319486802"}],"license":[{"start":{"date-parts":[[2016,1,1]],"date-time":"2016-01-01T00:00:00Z","timestamp":1451606400000},"content-version":"unspecified","delay-in-days":0,"URL":"http:\/\/www.springer.com\/tdm"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2016]]},"DOI":"10.1007\/978-3-319-48680-2_41","type":"book-chapter","created":{"date-parts":[[2016,10,20]],"date-time":"2016-10-20T17:31:00Z","timestamp":1476984660000},"page":"465-476","source":"Crossref","is-referenced-by-count":5,"title":["Action-02MCF: A Robust Space-Time Correlation Filter for Action Recognition in Clutter and Adverse Lighting Conditions"],"prefix":"10.1007","author":[{"given":"Anwaar","family":"Ulhaq","sequence":"first","affiliation":[]},{"given":"Xiaoxia","family":"Yin","sequence":"additional","affiliation":[]},{"given":"Yunchan","family":"Zhang","sequence":"additional","affiliation":[]},{"given":"Iqbal","family":"Gondal","sequence":"additional","affiliation":[]}],"member":"297","published-online":{"date-parts":[[2016,10,21]]},"reference":[{"key":"41_CR1","doi-asserted-by":"crossref","unstructured":"Ali, S., Lucey, S.: Are correlation filters useful for human actionrecognition? In: 2010 20th InternationalConference on Pattern Recognition (ICPR), pp. 2608\u20132611, August 2010","DOI":"10.1109\/ICPR.2010.639"},{"key":"41_CR2","doi-asserted-by":"crossref","unstructured":"Boddeti, V.N., Kanade, T., Kumar, B.: Correlation filters for object alignment. In: 2013 IEEE Conference on Computer Vision and Pattern Recognition, pp. 2291\u20132298 (2013)","DOI":"10.1109\/CVPR.2013.297"},{"key":"41_CR3","unstructured":"Boddeti, V.N., Kumar, B.: Maximum margin vector correlation filter. arXiv preprint (2014). arXiv:1404.6031"},{"issue":"2","key":"41_CR4","doi-asserted-by":"crossref","first-page":"162","DOI":"10.1016\/j.cviu.2006.06.010","volume":"106","author":"JW Davis","year":"2007","unstructured":"Davis, J.W., Sharma, V.: Background-subtraction using contour-based fusion of thermal and visible imagery. Comput. Vis. Image Underst. 106(2), 162\u2013182 (2007)","journal-title":"Comput. Vis. Image Underst."},{"key":"41_CR5","doi-asserted-by":"crossref","unstructured":"Donoser, M., Bischof, H.: 3d segmentation by maximally stable volumes (msvs). In: International Conference on Pattern Recognition, vol. 1, pp. 63\u201366. IEEE (2006)","DOI":"10.1109\/ICPR.2006.33"},{"key":"41_CR6","doi-asserted-by":"crossref","unstructured":"Everts, I., Gemert, J., Gevers, T.: Evaluation of color stips for human action recognition. In: Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, pp. 2850\u20132857 (2013)","DOI":"10.1109\/CVPR.2013.367"},{"issue":"8","key":"41_CR7","doi-asserted-by":"crossref","first-page":"1702","DOI":"10.1109\/TPAMI.2014.2375215","volume":"37","author":"JA Fernandez","year":"2015","unstructured":"Fernandez, J.A., Boddeti, V.N., Rodriguez, A., Kumar, B.V.K.V.: Zero-aliasing correlation filters for object recognition. IEEE Trans. Pattern Anal. Mach. Intell. 37(8), 1702\u20131715 (2015)","journal-title":"IEEE Trans. Pattern Anal. Mach. Intell."},{"key":"41_CR8","doi-asserted-by":"crossref","unstructured":"Fernandez, J.A., Kumar, B.V.: Space-time correlation filters for human action detection. In: SPIE Electronic Imaging, pp. 866304\u2013866304 (2013)","DOI":"10.1117\/12.2001662"},{"key":"41_CR9","doi-asserted-by":"crossref","unstructured":"Galoogahi, H., Sim, T., Lucey, S.: Multi-channel correlation filters. In: Proceedings of the IEEE International Conference on Computer Vision, pp. 3072\u20133079 (2013)","DOI":"10.1109\/ICCV.2013.381"},{"key":"41_CR10","doi-asserted-by":"crossref","unstructured":"Gong, S., Xiang, T.: Recognition of group activities using dynamic probabilistic networks. In: IEEE International Conference on Computer Vision, pp. 742\u2013749 (2003)","DOI":"10.1109\/ICCV.2003.1238423"},{"key":"41_CR11","doi-asserted-by":"crossref","unstructured":"Anwaar, G.I.H., Manzur, M.: Action recognition using spatio-temporal distance classifier correlation filter. In: International Conference on Digital Image Computing Techniques and Applications (DICTA), pp. 474\u2013479 (2011)","DOI":"10.1109\/DICTA.2011.86"},{"issue":"11","key":"41_CR12","doi-asserted-by":"crossref","first-page":"1758","DOI":"10.1364\/AO.19.001758","volume":"19","author":"CF Hester","year":"1980","unstructured":"Hester, C.F., Casasent, D.: Multivariant technique for multiclass pattern recognition. Appl. Optics 19(11), 1758\u20131761 (1980)","journal-title":"Appl. Optics"},{"issue":"1","key":"41_CR13","doi-asserted-by":"crossref","first-page":"172","DOI":"10.1109\/TPAMI.2010.68","volume":"33","author":"IN Junejo","year":"2011","unstructured":"Junejo, I.N., Dexter, E., Laptev, I., Perez, P.: View-independent action recognition from temporal self-similarities. IEEE Trans. Pattern Anal. Mach. Intell. 33(1), 172\u2013185 (2011)","journal-title":"IEEE Trans. Pattern Anal. Mach. Intell."},{"key":"41_CR14","doi-asserted-by":"crossref","unstructured":"Kiani, H., Sim, T., Lucey, S.: Multi-channel correlation filters for human action recognition. In: International Conference on Image Processing (ICIP), pp. 1485\u20131489. IEEE (2014)","DOI":"10.1109\/ICIP.2014.7025297"},{"key":"41_CR15","doi-asserted-by":"crossref","unstructured":"Klaser, A., Marsza\u0142ek, M., Schmid, C.: A spatio-temporal descriptor based on 3d-gradients. In: British Machine Vision Conference, pp. 275\u2013281 (2008)","DOI":"10.5244\/C.22.99"},{"key":"41_CR16","doi-asserted-by":"crossref","DOI":"10.1017\/CBO9780511541087","volume-title":"Correlation Pattern Recognition","author":"BVKV Kumar","year":"2005","unstructured":"Kumar, B.V.K.V., Mahalanobis, A., Juday, R.D.: Correlation Pattern Recognition. Cambridge University Press, New York (2005)"},{"key":"41_CR17","doi-asserted-by":"crossref","unstructured":"Laptev, I., Marsza\u0142ek, M., Schmid, C., Rozenfeld, B.: Learning realistic human actions from movies. In: IEEE Conference on Computer Vision and Pattern Recognition, pp. 1\u20138 (2008)","DOI":"10.1109\/CVPR.2008.4587756"},{"key":"41_CR18","unstructured":"Lewis, J., Nikolov, S., Loza, A., Canga, E.F., Cvejic, N., Li, J., Cardinali, A., Canagarajah, C., Bull, D., Riley, T., et al.: The eden project multi-sensor data set. The Online Resource for Research in Image Fusion ImageFusion.org (2006)"},{"key":"41_CR19","doi-asserted-by":"crossref","unstructured":"Liu, J., Luo, J., Shah, M.: Recognizing realistic actions from videos in the wild. In: IEEE Conference on Computer Vision and Pattern Recognition, pp.1996\u20132003 (2009)","DOI":"10.1109\/CVPR.2009.5206744"},{"issue":"2","key":"41_CR20","doi-asserted-by":"crossref","first-page":"631","DOI":"10.1109\/TIP.2012.2220151","volume":"22","author":"A Rodriguez","year":"2013","unstructured":"Rodriguez, A., Boddeti, V.N., Kumar, B., Mahalanobis, A.: Maximum margin correlation filter: a new approach for localization and classification. IEEE Trans. Image Process. 22(2), 631\u2013643 (2013)","journal-title":"IEEE Trans. Image Process."},{"key":"41_CR21","doi-asserted-by":"crossref","unstructured":"Rodriguez, M.D., Ahmed, J., Shah, M.: Action mach a spatio-temporal maximum average correlation height filter for action recognition. In: IEEE Conference on Computer Vision and Pattern Recognition, CVPR 2008, pp. 1\u20138, June 2008","DOI":"10.1109\/CVPR.2008.4587727"},{"key":"41_CR22","doi-asserted-by":"crossref","unstructured":"Siva, P., Xiang, T.: Action detection in crowd. In: British Machine Vision Conference, pp. 1\u201311 (2010)","DOI":"10.5244\/C.24.9"},{"key":"41_CR23","doi-asserted-by":"crossref","unstructured":"Toet, A., de Jong, M.J., Hogervorst, M.A., Hooge, I.T.: Perceptual evaluation of colorized nighttime imagery. In: IS&T\/SPIE Electronic Imaging, pp. 901412\u2013901412 (2014)","DOI":"10.1117\/12.2042409"},{"key":"41_CR24","doi-asserted-by":"crossref","unstructured":"Ulhaq, A., Iqbal, G., Murshed, M.: Contextual action recognition in multi-sensor nighttime video sequences. In: Digital Image Computing Techniques and Applications (DICTA), pp. 256\u2013261 (2011)","DOI":"10.1109\/DICTA.2011.49"},{"key":"41_CR25","series-title":"Lecture Notes in Computer Science","doi-asserted-by":"publisher","first-page":"635","DOI":"10.1007\/978-3-642-15558-1_46","volume-title":"Computer Vision \u2013 ECCV 2010","author":"D Weinland","year":"2010","unstructured":"Weinland, D., \u00d6zuysal, M., Fua, P.: Making action recognition robust to occlusions and viewpoint changes. In: Daniilidis, K., Maragos, P., Paragios, N. (eds.) ECCV 2010. LNCS, vol. 6313, pp. 635\u2013648. Springer, Heidelberg (2010). doi: 10.1007\/978-3-642-15558-1_46"}],"container-title":["Lecture Notes in Computer Science","Advanced Concepts for Intelligent Vision Systems"],"original-title":[],"link":[{"URL":"http:\/\/link.springer.com\/content\/pdf\/10.1007\/978-3-319-48680-2_41","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,6,11]],"date-time":"2025-06-11T18:40:38Z","timestamp":1749667238000},"score":1,"resource":{"primary":{"URL":"http:\/\/link.springer.com\/10.1007\/978-3-319-48680-2_41"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2016]]},"ISBN":["9783319486796","9783319486802"],"references-count":25,"URL":"https:\/\/doi.org\/10.1007\/978-3-319-48680-2_41","relation":{},"ISSN":["0302-9743","1611-3349"],"issn-type":[{"type":"print","value":"0302-9743"},{"type":"electronic","value":"1611-3349"}],"subject":[],"published":{"date-parts":[[2016]]}}}