{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,10,28]],"date-time":"2025-10-28T14:56:57Z","timestamp":1761663417818},"reference-count":37,"publisher":"Springer Science and Business Media LLC","issue":"7-8","license":[{"start":{"date-parts":[[2015,8,14]],"date-time":"2015-08-14T00:00:00Z","timestamp":1439510400000},"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":["Machine Vision and Applications"],"published-print":{"date-parts":[[2015,11]]},"DOI":"10.1007\/s00138-015-0703-0","type":"journal-article","created":{"date-parts":[[2015,8,13]],"date-time":"2015-08-13T10:51:41Z","timestamp":1439463101000},"page":"871-883","update-policy":"http:\/\/dx.doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":14,"title":["Flow field texture representation-based motion segmentation for crowd counting"],"prefix":"10.1007","volume":"26","author":[{"given":"Xuguang","family":"Zhang","sequence":"first","affiliation":[]},{"given":"Haiming","family":"He","sequence":"additional","affiliation":[]},{"given":"Shukai","family":"Cao","sequence":"additional","affiliation":[]},{"given":"Honghai","family":"Liu","sequence":"additional","affiliation":[]}],"member":"297","published-online":{"date-parts":[[2015,8,14]]},"reference":[{"key":"703_CR1","volume-title":"The Myth of the Madding Crowd","author":"C McPhail","year":"1991","unstructured":"McPhail, C.: The Myth of the Madding Crowd. Aldine De Gruyter, New York (1991)"},{"issue":"3","key":"703_CR2","doi-asserted-by":"crossref","first-page":"501","DOI":"10.1007\/s00138-011-0341-0","volume":"23","author":"B Wang","year":"2012","unstructured":"Wang, B., Ye, M., Li, X., Zhao, F., Ding, J.: Abnormal crowd behavior detection using high-frequency and spatio-temporal features. Mach. Vis. Appl. 23(3), 501\u2013511 (2012)","journal-title":"Mach. Vis. Appl."},{"issue":"2","key":"703_CR3","doi-asserted-by":"crossref","first-page":"243","DOI":"10.1007\/s00138-010-0280-1","volume":"23","author":"C Sim","year":"2012","unstructured":"Sim, C., Rajmadhan, E., Ranganath, S.: Detecting people in dense crowds. Mach. Vis. Appl. 23(2), 243\u2013253 (2012)","journal-title":"Mach. Vis. Appl."},{"issue":"5\u20136","key":"703_CR4","doi-asserted-by":"crossref","first-page":"345","DOI":"10.1007\/s00138-008-0132-4","volume":"19","author":"B Zhan","year":"2008","unstructured":"Zhan, B., Monekosso, D.N., Remagnino, P., Velastin, S.A., Xu, L.: Crowd analysis: a survey. Mach. Vis. Appl. 19(5\u20136), 345\u2013357 (2008)","journal-title":"Mach. Vis. Appl."},{"issue":"10","key":"703_CR5","doi-asserted-by":"crossref","first-page":"2064","DOI":"10.1109\/TPAMI.2012.123","volume":"34","author":"B Solmaz","year":"2012","unstructured":"Solmaz, B., Moore, B.E., Shah, M.: Identifying behaviors in crowd scenes using stability analysis for dynamical systems. IEEE Trans. Pattern Anal. Mach. Intell. 34(10), 2064\u20132070 (2012)","journal-title":"IEEE Trans. Pattern Anal. Mach. Intell."},{"issue":"2","key":"703_CR6","doi-asserted-by":"crossref","first-page":"153","DOI":"10.1007\/s11263-005-6644-8","volume":"63","author":"P Viola","year":"2005","unstructured":"Viola, P., Jones, M., Snow, D.: Detecting pedestrians using patterns of motion and appearance. Int. J. Comput. Vis. 63(2), 153\u2013161 (2005)","journal-title":"Int. J. Comput. Vis."},{"key":"703_CR7","doi-asserted-by":"crossref","unstructured":"Leibe, B., Seemann, E., Schiele, B.: Pedestrian detection in crowded scenes. In: IEEE Conference on Computer Vision and Pattern Recognition, vol. 1, pp. 875\u2013885 (2005)","DOI":"10.1109\/CVPR.2005.272"},{"issue":"2","key":"703_CR8","doi-asserted-by":"crossref","first-page":"198","DOI":"10.1007\/s11263-013-0624-1","volume":"104","author":"I Saleemi","year":"2013","unstructured":"Saleemi, I., Shah, M.: Multiframe many\u2013many point correspondence for vehicle tracking in high density wide area aerial videos. Int. J. Comput. Vis. 104(2), 198\u2013219 (2013)","journal-title":"Int. J. Comput. Vis."},{"issue":"7","key":"703_CR9","doi-asserted-by":"crossref","first-page":"1198","DOI":"10.1109\/TPAMI.2007.70770","volume":"30","author":"T Zhao","year":"2008","unstructured":"Zhao, T., Nevatia, R., Wu, B.: Segmentation and tracking of multiple humans in crowded environments. IEEE Trans. Pattern Anal. Mach. Intell. 30(7), 1198\u20131211 (2008)","journal-title":"IEEE Trans. Pattern Anal. Mach. Intell."},{"issue":"5","key":"703_CR10","doi-asserted-by":"crossref","first-page":"999","DOI":"10.1007\/s00138-011-0342-z","volume":"23","author":"M Airouche","year":"2012","unstructured":"Airouche, M., Bentabet, L., Zelmat, M., Gao, G.: Pedestrian tracking using color, thermal and location cue measurements: a DSmT-based framework. Mach. Vis. Appl. 23(5), 999\u20131010 (2012)","journal-title":"Mach. Vis. Appl."},{"issue":"1","key":"703_CR11","first-page":"13","volume":"40","author":"X Ji","year":"2010","unstructured":"Ji, X., Liu, H.: Advances in view-invariant human motion analysis: a review. IEEE Trans. Syst. Man Cybern. C Appl. Rev. 40(1), 13\u201324 (2010)","journal-title":"IEEE Trans. Syst. Man Cybern. C Appl. Rev."},{"issue":"6","key":"703_CR12","doi-asserted-by":"crossref","first-page":"645","DOI":"10.1109\/3468.983420","volume":"31","author":"S Lin","year":"2001","unstructured":"Lin, S., Chen, J., Chao, H.: Estimation of number of people in crowded scenes using perspective transformation. IEEE Trans. Syst. Man Cybern. 31(6), 645\u2013654 (2001)","journal-title":"IEEE Trans. Syst. Man Cybern."},{"key":"703_CR13","doi-asserted-by":"crossref","unstructured":"Rabaud, V., Belongie, S.J.: Counting crowded moving objects. In: IEEE Conference on Computer Vision and Pattern Recognition (2006)","DOI":"10.1109\/CVPR.2006.92"},{"issue":"5","key":"703_CR14","doi-asserted-by":"crossref","first-page":"1029","DOI":"10.1007\/s00138-013-0491-3","volume":"24","author":"D Conte","year":"2013","unstructured":"Conte, D., Foggia, P., Percannella, G., Vento, M.: Counting moving persons in crowded scenes. Mach. Vis. Appl. 24(5), 1029\u20131042 (2013)","journal-title":"Mach. Vis. Appl."},{"key":"703_CR15","doi-asserted-by":"crossref","unstructured":"Ge, W., Collins, R.T.: Marked point processes for crowd counting. In: IEEE Conference on Computer Vision and Pattern Recognition, pp. 2913\u20132920 (2009)","DOI":"10.1109\/CVPR.2009.5206621"},{"key":"703_CR16","doi-asserted-by":"crossref","unstructured":"Xiong, G., Cheng, J., Wu, X., Chen, Y., Ou, Y., Xu, Y.: An energy model approach to people counting for abnormal crowd behavior detection. Neurocomputing 83(15), 121\u2013135 (2012)","DOI":"10.1016\/j.neucom.2011.12.007"},{"issue":"4","key":"703_CR17","doi-asserted-by":"crossref","first-page":"2160","DOI":"10.1109\/TIP.2011.2172800","volume":"21","author":"AB Chan","year":"2012","unstructured":"Chan, A.B., Vasconcelos, N.: Counting people with low-level features and Bayesian regression. IEEE Trans. Image Process. 21(4), 2160\u20132177 (2012)","journal-title":"IEEE Trans. Image Process."},{"key":"703_CR18","doi-asserted-by":"crossref","unstructured":"Ali, S., Shah, M.: A Lagrangian particle dynamics approach for crowd flow segmentation and stability analysis. In: IEEE Conference on Computer Vision and Pattern Recognition (2007)","DOI":"10.1109\/CVPR.2007.382977"},{"key":"703_CR19","doi-asserted-by":"crossref","unstructured":"Wu, S., Moore, B.E., Shah, M.: Chaotic invariants of Lagrangian particle trajectories for anomaly detection in crowded scenes. In: IEEE Conference on Computer Vision and Pattern Recognition (2010)","DOI":"10.1109\/CVPR.2010.5539882"},{"key":"703_CR20","doi-asserted-by":"crossref","unstructured":"Mehran, R., Moore, B.E., Shah, M.: A streakline representation of flow in crowded scenes. In: European Conference on Computer Vision (2010)","DOI":"10.1007\/978-3-642-15558-1_32"},{"issue":"1\u20133","key":"703_CR21","doi-asserted-by":"crossref","first-page":"185","DOI":"10.1016\/0004-3702(81)90024-2","volume":"17","author":"B Horn","year":"1981","unstructured":"Horn, B., Schunck, B.: Determining optical flow. Artif. Intell. 17(1\u20133), 185\u2013203 (1981)","journal-title":"Artif. Intell."},{"issue":"6","key":"703_CR22","doi-asserted-by":"crossref","first-page":"1229","DOI":"10.1007\/s00138-011-0352-x","volume":"23","author":"MP Shiralkar","year":"2012","unstructured":"Shiralkar, M.P., Schalkoff, R.J.: A self-organization based optical flow estimator with GPU implementation. Mach. Vis. Appl. 23(6), 1229\u20131242 (2012)","journal-title":"Mach. Vis. Appl."},{"key":"703_CR23","first-page":"2","volume":"2010","author":"K Liu","year":"2010","unstructured":"Liu, K., Du, Q., Yang, H., Ma, B.: Optical flow and principal component analysis-based motion detection in outdoor videos. EURASIP J. Adv. Signal Process. 2010, 2\u20134 (2010)","journal-title":"EURASIP J. Adv. Signal Process."},{"issue":"3","key":"703_CR24","doi-asserted-by":"crossref","first-page":"547","DOI":"10.1007\/s00138-011-0384-2","volume":"25","author":"M Choi","year":"2014","unstructured":"Choi, M., Park, J., Lee, S.: Event classification for vehicle navigation system by regional optical flow analysis. Mach. Vis. Appl. 25(3), 547\u2013559 (2014)","journal-title":"Mach. Vis. Appl."},{"key":"703_CR25","volume-title":"Overview of Flow Visualization. The Visualization Handbook","author":"D Weiskopf","year":"2005","unstructured":"Weiskopf, D., Erlebacher, G.: Overview of Flow Visualization. The Visualization Handbook. Elsevier, Amsterdam (2005)"},{"key":"703_CR26","doi-asserted-by":"crossref","unstructured":"Stalling, D., Hege, H.: Fast and resolution independent line integral convolution. In: Proceedings of ACM SigGraph 95, Aug 6\u201311, Los Angeles, California, pp. 249\u2013256 (1995)","DOI":"10.1145\/218380.218448"},{"key":"703_CR27","unstructured":"Brian, C., Leith, L.: Imaging vector fields using line integral convolution. In: Proceedings of ACM SigGraph 93, Anaheim, California, pp. 263\u2013270 (1993)"},{"issue":"2","key":"703_CR28","doi-asserted-by":"crossref","first-page":"113","DOI":"10.1109\/TVCG.2005.21","volume":"11","author":"Z Liu","year":"2005","unstructured":"Liu, Z., Moorhead, R.J.: Accelerated unsteady flow line integral convolution. IEEE Trans. Vis. Comput. Graph. 11(2), 113\u2013125 (2005)","journal-title":"IEEE Trans. Vis. Comput. Graph."},{"issue":"4","key":"703_CR29","doi-asserted-by":"crossref","first-page":"791","DOI":"10.1007\/s00138-011-0319-y","volume":"23","author":"SS Fan","year":"2012","unstructured":"Fan, S.S., Chuang, Y.: An entropy-based image registration method using image intensity difference on overlapped region. Mach. Vis. Appl. 23(4), 791\u2013804 (2012)","journal-title":"Mach. Vis. Appl."},{"issue":"6","key":"703_CR30","doi-asserted-by":"crossref","first-page":"2419","DOI":"10.1016\/j.patcog.2011.12.013","volume":"45","author":"RF Moghaddam","year":"2012","unstructured":"Moghaddam, R.F., Cheriet, M.: AdOtsu: an adaptive and parameterless generalization of Otsu\u2019s method for document image binarization. Pattern Recognit. 45(6), 2419\u20132431 (2012)","journal-title":"Pattern Recognit."},{"issue":"4","key":"703_CR31","doi-asserted-by":"crossref","first-page":"383","DOI":"10.1109\/TVCG.2005.68","volume":"11","author":"H Theisel","year":"2005","unstructured":"Theisel, H., Weinkauf, T., Hege, H.C., Seidel, H.P.: Topological Methods for 2D time-dependent vector fields based on stream lines and path lines. IEEE Trans. Vis. Comput. Graph. 11(4), 383\u2013394 (2005)","journal-title":"IEEE Trans. Vis. Comput. Graph."},{"issue":"11","key":"703_CR32","doi-asserted-by":"crossref","first-page":"1197","DOI":"10.1016\/j.robot.2010.08.002","volume":"58","author":"X Zhang","year":"2010","unstructured":"Zhang, X., Liu, H., Li, X.: Target tracking for mobile robot platforms via object matching and background anti-matching. Robot. Auton. Syst. 58(11), 1197\u20131206 (2010)","journal-title":"Robot. Auton. Syst."},{"key":"703_CR33","unstructured":"Al-Kubati, A.A.M., Saif, J.A.M., Taher, M.A.A.: Evaluation of Canny and Otsu image segmentation. In: International Conference on Emerging Trends in Computer and Electronics Engineering, pp. 23\u201325 (2012)"},{"issue":"1","key":"703_CR34","doi-asserted-by":"crossref","first-page":"37","DOI":"10.1049\/ecej:19950106","volume":"7","author":"AC Davies","year":"1995","unstructured":"Davies, A.C., Yin, J., Velastin, S.A.: Crowd monitoring using image processing. IEE Electron. Commun. Eng. J. 7(1), 37\u201347 (1995)","journal-title":"IEE Electron. Commun. Eng. J."},{"key":"703_CR35","unstructured":"http:\/\/www.cvg.rdg.ac.uk\/PETS2009\/"},{"key":"703_CR36","first-page":"1","volume":"2010","author":"D Conte","year":"2010","unstructured":"Conte, D., Foggia, P., Percannella, G., Tufano, F., Vento, M.: A method for counting moving people in video surveillance videos. EURASIP J. Adv. Signal Process. 2010, 1\u201310 (2010)","journal-title":"EURASIP J. Adv. Signal Process."},{"key":"703_CR37","unstructured":"Albiol, A., Silla, M.J., Albiol, A., Mossi, J.M.: Video analysis using corner motion statistics. In: IEEE International Workshop on Performance Evaluation of Tracking and Surveillance, pp. 31\u201338 (2009)"}],"container-title":["Machine Vision and Applications"],"original-title":[],"language":"en","link":[{"URL":"http:\/\/link.springer.com\/content\/pdf\/10.1007\/s00138-015-0703-0.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"text-mining"},{"URL":"http:\/\/link.springer.com\/article\/10.1007\/s00138-015-0703-0\/fulltext.html","content-type":"text\/html","content-version":"vor","intended-application":"text-mining"},{"URL":"http:\/\/link.springer.com\/content\/pdf\/10.1007\/s00138-015-0703-0","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2019,5,23]],"date-time":"2019-05-23T09:09:37Z","timestamp":1558602577000},"score":1,"resource":{"primary":{"URL":"http:\/\/link.springer.com\/10.1007\/s00138-015-0703-0"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2015,8,14]]},"references-count":37,"journal-issue":{"issue":"7-8","published-print":{"date-parts":[[2015,11]]}},"alternative-id":["703"],"URL":"https:\/\/doi.org\/10.1007\/s00138-015-0703-0","relation":{},"ISSN":["0932-8092","1432-1769"],"issn-type":[{"value":"0932-8092","type":"print"},{"value":"1432-1769","type":"electronic"}],"subject":[],"published":{"date-parts":[[2015,8,14]]}}}