{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,12,3]],"date-time":"2025-12-03T17:18:18Z","timestamp":1764782298756},"reference-count":0,"publisher":"IGI Global","issue":"2","content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2021,4]]},"abstract":"<jats:p>Background subtraction schematic is widely used for motion detection. For effective automation of this process, a robust algorithm with high accuracy is needed. One of the major challenges of such algorithms is the identification of objects from an environment with composite elements that may be a dynamic background, frames with a camouflaged background and foreground pixels, and consecutive frames with varying illumination. The existing system uses a multi-color space histogram superposition principle having the biggest challenge of choosing appropriate color components in suitable proportion. Overcoming this challenge, a novel approach, MODITBS, processed in a differential domain, is proposed. A fuzzified color difference histogram-based background modeling is done to significantly deal with complex background scenes followed by principal component analysis-based feature extraction. The foreground objects detected are enhanced using a Kalman filter. The results show that MODITBS attains an accuracy of 95.16% in comparison to the existing system having an accuracy of 91.25%.<\/jats:p>","DOI":"10.4018\/ijsi.2021040105","type":"journal-article","created":{"date-parts":[[2021,4,21]],"date-time":"2021-04-21T12:35:56Z","timestamp":1619008556000},"page":"81-101","source":"Crossref","is-referenced-by-count":1,"title":["A Novel Approach for Detection of Moving Objects in Complex Scenes Using Fuzzy Colour Difference Histogram"],"prefix":"10.4018","volume":"9","author":[{"given":"Prerna","family":"Dewan","sequence":"first","affiliation":[{"name":"National Institute of Technical Teachers Training and Research, India"}]},{"given":"Nivedita","family":"Nivedita","sequence":"additional","affiliation":[{"name":"National Institute of Technical Teachers Training and Research, India"}]},{"given":"Rakesh","family":"Kumar","sequence":"additional","affiliation":[{"name":"Central University of Haryana, India"}]}],"member":"2432","container-title":["International Journal of Software Innovation"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/www.igi-global.com\/viewtitle.aspx?TitleId=277216","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2022,5,5]],"date-time":"2022-05-05T22:17:38Z","timestamp":1651789058000},"score":1,"resource":{"primary":{"URL":"http:\/\/services.igi-global.com\/resolvedoi\/resolve.aspx?doi=10.4018\/IJSI.2021040105"}},"subtitle":[""],"short-title":[],"issued":{"date-parts":[[2021,4]]},"references-count":0,"journal-issue":{"issue":"2"},"URL":"https:\/\/doi.org\/10.4018\/ijsi.2021040105","relation":{},"ISSN":["2166-7160","2166-7179"],"issn-type":[{"value":"2166-7160","type":"print"},{"value":"2166-7179","type":"electronic"}],"subject":[],"published":{"date-parts":[[2021,4]]}}}