{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,3,27]],"date-time":"2025-03-27T13:44:13Z","timestamp":1743083053980,"version":"3.40.3"},"publisher-location":"Berlin, Heidelberg","reference-count":14,"publisher":"Springer Berlin Heidelberg","isbn-type":[{"type":"print","value":"9783642172885"},{"type":"electronic","value":"9783642172892"}],"license":[{"start":{"date-parts":[[2010,1,1]],"date-time":"2010-01-01T00:00:00Z","timestamp":1262304000000},"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":[[2010]]},"DOI":"10.1007\/978-3-642-17289-2_12","type":"book-chapter","created":{"date-parts":[[2010,11,19]],"date-time":"2010-11-19T22:32:38Z","timestamp":1290205958000},"page":"120-131","source":"Crossref","is-referenced-by-count":5,"title":["Learning Scene Entries and Exits Using Coherent Motion Regions"],"prefix":"10.1007","author":[{"given":"Matthew","family":"Nedrich","sequence":"first","affiliation":[]},{"given":"James W.","family":"Davis","sequence":"additional","affiliation":[]}],"member":"297","reference":[{"key":"12_CR1","doi-asserted-by":"crossref","unstructured":"Stauffer, C.: Estimating tracking sources and sinks. In: Proc. Second IEEE Event Mining Workshop (2003)","DOI":"10.1109\/CVPRW.2003.10036"},{"key":"12_CR2","unstructured":"Shi, J., Tomasi, C.: Good features to track. In: CVPR (1994)"},{"key":"12_CR3","unstructured":"Makris, D., Ellis, T.: Automatic learning of an activity-based semantic scene model. In: AVSS (2003)"},{"key":"12_CR4","series-title":"Lecture Notes in Computer Science","doi-asserted-by":"publisher","first-page":"110","DOI":"10.1007\/11744078_9","volume-title":"Computer Vision \u2013 ECCV 2006","author":"X. Wang","year":"2006","unstructured":"Wang, X., Tieu, K., Grimson, E.: Learning semantic scene models by trajectory analysis. In: Leonardis, A., Bischof, H., Pinz, A. (eds.) ECCV 2006. LNCS, vol.\u00a03953, pp. 110\u2013123. Springer, Heidelberg (2006)"},{"key":"12_CR5","doi-asserted-by":"crossref","unstructured":"Streib, K., Davis, J.: Extracting pathlets from weak tracking data. In: AVSS (2010)","DOI":"10.1109\/AVSS.2010.24"},{"key":"12_CR6","unstructured":"Rabaud, V., Belongie, S.: Counting crowded moving objects. In: CVPR (2006)"},{"key":"12_CR7","unstructured":"Browstow, G., Cipolla, R.: Unsupervised Bayesian detection of independent motion in crowds. In: CVPR (2006)"},{"key":"12_CR8","doi-asserted-by":"crossref","unstructured":"Cheriyadat, A., Bhaduri, B., Radke, R.: Detecting multiple moving objects in crowded environments with coherent motion regions. In: POCV (2008)","DOI":"10.1109\/CVPRW.2008.4562983"},{"key":"12_CR9","doi-asserted-by":"crossref","unstructured":"Cheriyadat, A., Radke, R.: Automatically determining dominant motions in crowded scenes by clustering partial feature trajectories. In: Proc. Int. Conf. on Distributed Smart Cameras (2007)","DOI":"10.1109\/ICDSC.2007.4357505"},{"key":"12_CR10","doi-asserted-by":"crossref","unstructured":"Cheng, Y.: Mean shift, mode seeking, and clustering. PAMI, 17 (1995)","DOI":"10.1109\/34.400568"},{"key":"12_CR11","doi-asserted-by":"crossref","unstructured":"Masoud, O., Papanikolopoulos, N.: A novel method for tracking and counting pedestrians in real-time using a single camera. IEEE Trans. on Vehicular Tech.\u00a050 (2001)","DOI":"10.1109\/25.950328"},{"key":"12_CR12","doi-asserted-by":"crossref","unstructured":"Schwarz, G.: Estimating the dimension of a model. Ann. of Statist.\u00a06 (1978)","DOI":"10.1214\/aos\/1176344136"},{"key":"12_CR13","series-title":"Lecture Notes in Artificial Intelligence","first-page":"494","volume-title":"MICAI 2006: Advances in Artificial Intelligence","author":"N. Cruz-Ramirez","year":"2006","unstructured":"Cruz-Ramirez, N., et al.: How good are the Bayesian information criterion and the minimum description length principle for model selection? A Bayesian network analysis. In: Gelbukh, A., Reyes-Garcia, C.A. (eds.) MICAI 2006. LNCS (LNAI), vol.\u00a04293, pp. 494\u2013504. Springer, Heidelberg (2006)"},{"key":"12_CR14","doi-asserted-by":"crossref","unstructured":"Parzen, E.: On estimation of a probability density function and mode. Ann. Math. Statist.\u00a033 (1962)","DOI":"10.1214\/aoms\/1177704472"}],"container-title":["Lecture Notes in Computer Science","Advances in Visual Computing"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/978-3-642-17289-2_12","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2023,3,8]],"date-time":"2023-03-08T06:06:07Z","timestamp":1678255567000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/978-3-642-17289-2_12"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2010]]},"ISBN":["9783642172885","9783642172892"],"references-count":14,"URL":"https:\/\/doi.org\/10.1007\/978-3-642-17289-2_12","relation":{},"ISSN":["0302-9743","1611-3349"],"issn-type":[{"type":"print","value":"0302-9743"},{"type":"electronic","value":"1611-3349"}],"subject":[],"published":{"date-parts":[[2010]]}}}