{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2024,5,1]],"date-time":"2024-05-01T06:28:10Z","timestamp":1714544890600},"reference-count":14,"publisher":"World Scientific Pub Co Pte Lt","issue":"01","content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Int. J. Image Grap."],"published-print":{"date-parts":[[2011,1]]},"abstract":" This paper presents a Bayesian approach for foreground segmentation in monocular image sequences. To overcome the limitations of background modeling in dealing with pixel-wise processing, spatial coherence and temporal persistency are formulated with background model under a maximum a posteriori probability (MAP)\u2013Markov random field statistical (MRF) framework. Fuzzy clustering factor was introduced into the prior energy of MRFs for the new implementation scheme, where contextual constraints can be adaptively adjusted in terms of feature cues. Experimental results for several image sequences are provided to demonstrate the effectiveness of the proposed approach. <\/jats:p>","DOI":"10.1142\/s0219467811003993","type":"journal-article","created":{"date-parts":[[2011,3,2]],"date-time":"2011-03-02T04:41:32Z","timestamp":1299040892000},"page":"65-81","source":"Crossref","is-referenced-by-count":4,"title":["A MULTI-HISTOGRAM CLUSTERING APPROACH TOWARD MARKOV RANDOM FIELD FOR FOREGROUND SEGMENTATION"],"prefix":"10.1142","volume":"11","author":[{"given":"WENJIA","family":"YANG","sequence":"first","affiliation":[{"name":"School of Automation, Beijing Institute of Technology, Beijing, 100081, Beijing Key Laboratory of Automatic Control System, (Beijing Institute of Technology), Beijing City, 100081, China"}]},{"given":"LIHUA","family":"DOU","sequence":"additional","affiliation":[{"name":"School of Automation, Beijing Institute of Technology, Beijing, 100081, Beijing Key Laboratory of Automatic Control System, (Beijing Institute of Technology), Beijing City, 100081, China"}]},{"given":"JUAN","family":"ZHAN","sequence":"additional","affiliation":[{"name":"School of Automation, Beijing Institute of Technology, Beijing, 100081, Beijing Key Laboratory of Automatic Control System, (Beijing Institute of Technology), Beijing City, 100081, China"}]}],"member":"219","published-online":{"date-parts":[[2011,11,20]]},"reference":[{"key":"rf1","first-page":"780","author":"Wren C.","journal-title":"IEEE Trans. Pattern Anal. Mach. Intell."},{"key":"rf4","volume":"1459","author":"Li L.","journal-title":"IEEE Trans. Image Process."},{"key":"rf8","first-page":"1937","author":"Wang Y.","journal-title":"Pattern Recognition"},{"key":"rf9","volume":"279","author":"Wang Y.","journal-title":"IEEE Trans. Pattern Anal. Mach. Intell."},{"key":"rf11","first-page":"51","author":"Zhou J.","journal-title":"IEEE. Trans. Veh. Technol."},{"key":"rf13","first-page":"497","author":"Yang H.","journal-title":"IEEE Trans. Signal Process. Lett."},{"key":"rf14","first-page":"721","author":"Geman S.","journal-title":"IEEE Trans. Pattern Anal. Mach. Intell."},{"key":"rf15","doi-asserted-by":"publisher","DOI":"10.1007\/978-1-4615-5243-7"},{"key":"rf16","first-page":"1238","author":"Ramze M.","journal-title":"IEEE Trans. Image Process."},{"key":"rf17","first-page":"1351","author":"Chatzis S. P.","journal-title":"IEEE Trans. Fuzzy Syst."},{"key":"rf19","first-page":"2323","author":"Deng H.","journal-title":"Pattern Recognition."},{"key":"rf20","volume-title":"Markov Random Field Modeling in Image Analysis","author":"Li S. Z.","year":"1995"},{"key":"rf21","first-page":"1124","author":"Boykov Y.","journal-title":"Pattern Recognition"},{"key":"rf22","first-page":"1168","author":"Maddalena L.","journal-title":"IEEE Trans. Image Process."}],"container-title":["International Journal of Image and Graphics"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/www.worldscientific.com\/doi\/pdf\/10.1142\/S0219467811003993","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2019,8,6]],"date-time":"2019-08-06T23:14:11Z","timestamp":1565133251000},"score":1,"resource":{"primary":{"URL":"https:\/\/www.worldscientific.com\/doi\/abs\/10.1142\/S0219467811003993"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2011,1]]},"references-count":14,"journal-issue":{"issue":"01","published-online":{"date-parts":[[2011,11,20]]},"published-print":{"date-parts":[[2011,1]]}},"alternative-id":["10.1142\/S0219467811003993"],"URL":"https:\/\/doi.org\/10.1142\/s0219467811003993","relation":{},"ISSN":["0219-4678","1793-6756"],"issn-type":[{"value":"0219-4678","type":"print"},{"value":"1793-6756","type":"electronic"}],"subject":[],"published":{"date-parts":[[2011,1]]}}}