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Unlike previously presented works which usually use a short range sensors like Microsoft Kinect, here, a long-range stereo camera in outdoor environment is used. The experimental results for the proposed approaches show that recognition rates are improved when compared to existing popular gait recognition methods.<\/jats:p>","DOI":"10.1142\/s0218126620502667","type":"journal-article","created":{"date-parts":[[2020,6,5]],"date-time":"2020-06-05T03:23:21Z","timestamp":1591327401000},"page":"2050266","source":"Crossref","is-referenced-by-count":10,"title":["Depth-Based Real-Time Gait Recognition"],"prefix":"10.1142","volume":"29","author":[{"given":"Adnan","family":"Ramaki\u0107","sequence":"first","affiliation":[{"name":"Faculty of Engineering, University of Rijeka, Vukovarska 58, Rijeka, Croatia"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Diego","family":"Su\u0161anj","sequence":"additional","affiliation":[{"name":"Faculty of Engineering, University of Rijeka, Vukovarska 58, Rijeka, Croatia"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Kristijan","family":"Lenac","sequence":"additional","affiliation":[{"name":"Faculty of Engineering, University of Rijeka, Vukovarska 58, Rijeka, Croatia"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-4495-3201","authenticated-orcid":false,"given":"Zlatko","family":"Bundalo","sequence":"additional","affiliation":[{"name":"Faculty of Electrical Engineering, University of Banja Luka, Patre 5, Banja Luka, Bosnia and Herzegovina"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"219","published-online":{"date-parts":[[2020,6,30]]},"reference":[{"key":"S0218126620502667BIB001","doi-asserted-by":"crossref","first-page":"316","DOI":"10.1109\/TPAMI.2006.38","volume":"28","author":"Han J.","year":"2006","journal-title":"IEEE Trans. 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