{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,9,29]],"date-time":"2025-09-29T08:14:38Z","timestamp":1759133678756,"version":"3.38.0"},"publisher-location":"Berlin, Heidelberg","reference-count":10,"publisher":"Springer Berlin Heidelberg","isbn-type":[{"type":"print","value":"9783540261537"},{"type":"electronic","value":"9783540322375"}],"license":[{"start":{"date-parts":[[2005,1,1]],"date-time":"2005-01-01T00:00:00Z","timestamp":1104537600000},"content-version":"tdm","delay-in-days":0,"URL":"http:\/\/www.springer.com\/tdm"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2005]]},"DOI":"10.1007\/11492429_12","type":"book-chapter","created":{"date-parts":[[2011,1,7]],"date-time":"2011-01-07T22:44:39Z","timestamp":1294440279000},"page":"93-101","source":"Crossref","is-referenced-by-count":6,"title":["A Framework to Integrate Particle Filters for Robust Tracking in Non-stationary Environments"],"prefix":"10.1007","author":[{"given":"Francesc","family":"Moreno-Noguer","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Alberto","family":"Sanfeliu","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"297","reference":[{"key":"12_CR1","doi-asserted-by":"crossref","unstructured":"Birchfield, S.: Elliptical head tracking using intensity gradients and color histograms. In: Proc. CVPR, pp. 232\u2013237 (1998)","DOI":"10.1109\/CVPR.1998.698614"},{"key":"12_CR2","volume-title":"Introduction to statistical pattern recognition","author":"K. Fukunaga","year":"1990","unstructured":"Fukunaga, K.: Introduction to statistical pattern recognition, 2nd edn. Academic Press, London (1990)","edition":"2"},{"key":"12_CR3","doi-asserted-by":"crossref","unstructured":"Hayman, E., Eklundh, J.O.: Probabilistic and voting approaches to cue integration for figureground segmentation. In: Proc. ECCV, pp. 469\u2013486 (2002)","DOI":"10.1007\/3-540-47977-5_31"},{"issue":"1","key":"12_CR4","doi-asserted-by":"publisher","first-page":"5","DOI":"10.1023\/A:1008078328650","volume":"29","author":"M. Isard","year":"1998","unstructured":"Isard, M., Blake, A.: CONDENSATION-Conditional Density Propagation for visual tracking. IJCV\u00a029(1), 5\u201328 (1998)","journal-title":"IJCV"},{"key":"12_CR5","doi-asserted-by":"crossref","unstructured":"Leichter, I., Lindenbaum, M., Rivlin, E.: A probabilistic framework for combining tracking algorithms. In: Proc. CVPR, vol.\u00a02, pp. 445\u2013451 (2004)","DOI":"10.1109\/CVPR.2004.1315198"},{"key":"12_CR6","unstructured":"Moreno-Noguer, F., Sanfeliu, A., Samaras, D.: Fusion of a Multiple Hypotheses Color Model and Deformable Contours for Figure Ground Segmentation in Dynamic Environments. In: Proc. ANM, CVPRw (2004)"},{"issue":"1","key":"12_CR7","doi-asserted-by":"crossref","first-page":"99","DOI":"10.1016\/S0262-8856(02)00129-4","volume":"2","author":"K. Nummiaro","year":"2003","unstructured":"Nummiaro, K., Koller-Meier, E., Van Gool, L.: An adaptive color-based particle filter. IVC\u00a02(1), 99\u2013110 (2003)","journal-title":"IVC"},{"key":"12_CR8","doi-asserted-by":"crossref","unstructured":"Sidenbladh, H., Black, M.J., Fleet, D.J.: Stochastic tracking of 3D human figures using 2D image motion. In: Proc. ECCV, pp. 702\u2013718 (2000)","DOI":"10.1007\/3-540-45053-X_45"},{"issue":"1","key":"12_CR9","doi-asserted-by":"publisher","first-page":"50","DOI":"10.1007\/s00138-002-0095-9","volume":"14","author":"M. Spengler","year":"2003","unstructured":"Spengler, M., Schiele, B.: Towards robust multi-cue integration for visual tracking. Machine Vision and Applications\u00a014(1), 50\u201358 (2003)","journal-title":"Machine Vision and Applications"},{"issue":"9","key":"12_CR10","doi-asserted-by":"publisher","first-page":"2049","DOI":"10.1162\/089976601750399308","volume":"13","author":"J. Triesch","year":"2001","unstructured":"Triesch, J., von der Malsburg, C.: Democratic integration: self-organized integration of adaptive cues. Neural Computation\u00a013(9), 2049\u20132074 (2001)","journal-title":"Neural Computation"}],"container-title":["Lecture Notes in Computer Science","Pattern Recognition and Image Analysis"],"original-title":[],"language":"en","link":[{"URL":"http:\/\/link.springer.com\/content\/pdf\/10.1007\/11492429_12","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,3,1]],"date-time":"2025-03-01T14:42:33Z","timestamp":1740840153000},"score":1,"resource":{"primary":{"URL":"http:\/\/link.springer.com\/10.1007\/11492429_12"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2005]]},"ISBN":["9783540261537","9783540322375"],"references-count":10,"URL":"https:\/\/doi.org\/10.1007\/11492429_12","relation":{},"ISSN":["0302-9743","1611-3349"],"issn-type":[{"type":"print","value":"0302-9743"},{"type":"electronic","value":"1611-3349"}],"subject":[],"published":{"date-parts":[[2005]]}}}