{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,10,27]],"date-time":"2025-10-27T15:22:20Z","timestamp":1761578540511,"version":"build-2065373602"},"reference-count":21,"publisher":"MDPI AG","issue":"2","license":[{"start":{"date-parts":[[2010,1,28]],"date-time":"2010-01-28T00:00:00Z","timestamp":1264636800000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/3.0\/"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Sensors"],"abstract":"<jats:p>This paper presents a region-based method for background subtraction. It relies on color histograms, texture information, and successive division of candidate rectangular image regions to model the background and detect motion. Our proposed algorithm uses this principle and combines it with Gaussian Mixture background modeling to produce a new method which outperforms the classic Gaussian Mixture background subtraction method. Our method has the advantages of filtering noise during image differentiation and providing a selectable level of detail for the contour of the moving shapes. The algorithm is tested on various video sequences and is shown to outperform state-of-the-art background subtraction methods.<\/jats:p>","DOI":"10.3390\/s100201041","type":"journal-article","created":{"date-parts":[[2010,1,28]],"date-time":"2010-01-28T13:03:45Z","timestamp":1264683825000},"page":"1041-1061","update-policy":"https:\/\/doi.org\/10.3390\/mdpi_crossmark_policy","source":"Crossref","is-referenced-by-count":55,"title":["A Multiscale Region-Based Motion Detection and Background Subtraction Algorithm"],"prefix":"10.3390","volume":"10","author":[{"given":"Parisa Darvish Zadeh","family":"Varcheie","sequence":"first","affiliation":[{"name":"Departement of Computer and Software Engineering, \u00c9cole Polytechnique de Montr\u00e9al, P.O. Box 6079, Station Centre-ville Montr\u00e9al (Qu\u00e9bec), H3C 3A7, Canada"}]},{"given":"Michael","family":"Sills-Lavoie","sequence":"additional","affiliation":[{"name":"Departement of Computer and Software Engineering, \u00c9cole Polytechnique de Montr\u00e9al, P.O. Box 6079, Station Centre-ville Montr\u00e9al (Qu\u00e9bec), H3C 3A7, Canada"}]},{"given":"Guillaume-Alexandre","family":"Bilodeau","sequence":"additional","affiliation":[{"name":"Departement of Computer and Software Engineering, \u00c9cole Polytechnique de Montr\u00e9al, P.O. Box 6079, Station Centre-ville Montr\u00e9al (Qu\u00e9bec), H3C 3A7, Canada"}]}],"member":"1968","published-online":{"date-parts":[[2010,1,28]]},"reference":[{"key":"ref_1","doi-asserted-by":"crossref","first-page":"657","DOI":"10.1109\/TPAMI.2006.68","article-title":"A texture-based method for modeling the background and detecting moving objects","volume":"4","author":"Heikkila","year":"2006","journal-title":"IEEE Trans. Pattern Anal. Mach. Intell"},{"key":"ref_2","unstructured":"Stauffer, C., and Grimson, W. (, January June). Adaptive background mixture models for real-time tracking. Hilton Head, SC, USA."},{"key":"ref_3","doi-asserted-by":"crossref","first-page":"1355","DOI":"10.1016\/S0031-3203(01)00118-2","article-title":"On measuring the distance between histograms","volume":"35","author":"Cha","year":"2002","journal-title":"Pattern Recognit"},{"key":"ref_4","doi-asserted-by":"crossref","first-page":"42","DOI":"10.1006\/cviu.2000.0870","article-title":"Tracking groups of people","volume":"80","author":"McKenna","year":"2000","journal-title":"Comput. Vis. Image Underst"},{"key":"ref_5","doi-asserted-by":"crossref","first-page":"5","DOI":"10.1016\/j.patrec.2004.07.013","article-title":"A practical adaptive approach for dynamic background subtraction using an invariant colour model and object tracking","volume":"26","author":"Shoushtarian","year":"2005","journal-title":"Pattern Recognit. Lett"},{"key":"ref_6","unstructured":"Kaew, P., TraKul, P., and Bowden, R. (, January September). An improved adaptive background mixture model for real-time tracking with shadow detection. Kingston upon Thames, UK."},{"key":"ref_7","unstructured":"Zivkovic, Z. (, January August). Improved adaptive Gaussian mixture model for background subtraction. Cambridge, UK."},{"key":"ref_8","doi-asserted-by":"crossref","first-page":"473","DOI":"10.1016\/j.imavis.2006.01.018","article-title":"Flexible background mixture models for foreground segmentation","volume":"24","author":"Chen","year":"2006","journal-title":"Image Vision Comput"},{"key":"ref_9","doi-asserted-by":"crossref","first-page":"809","DOI":"10.1109\/34.868683","article-title":"W4: real-time surveillance of people and their activities","volume":"22","author":"Haritaoglu","year":"2000","journal-title":"IEEE Trans. Pattern Anal. Mach. Intell"},{"key":"ref_10","unstructured":"Mason, M., and Duric, Z. (, January October). 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Available online: http:\/\/www.umiacs.umd.edu\/knkim\/UMD-BGS\/index.html (accessed on 2 November 2009)."}],"container-title":["Sensors"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/www.mdpi.com\/1424-8220\/10\/2\/1041\/pdf","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,10,11]],"date-time":"2025-10-11T22:01:21Z","timestamp":1760220081000},"score":1,"resource":{"primary":{"URL":"https:\/\/www.mdpi.com\/1424-8220\/10\/2\/1041"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2010,1,28]]},"references-count":21,"journal-issue":{"issue":"2","published-online":{"date-parts":[[2010,2]]}},"alternative-id":["s100201041"],"URL":"https:\/\/doi.org\/10.3390\/s100201041","relation":{},"ISSN":["1424-8220"],"issn-type":[{"type":"electronic","value":"1424-8220"}],"subject":[],"published":{"date-parts":[[2010,1,28]]}}}