{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2022,4,5]],"date-time":"2022-04-05T11:20:02Z","timestamp":1649157602298},"reference-count":7,"publisher":"World Scientific Pub Co Pte Lt","issue":"03","content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Int. J. Patt. Recogn. Artif. Intell."],"published-print":{"date-parts":[[2011,5]]},"abstract":"<jats:p> A novel method is proposed to deal with the problem of building recognition in forward-looking infrared (FLIR) image sequences. Two computational models are deduced in this paper: one is the perspective transformation model, through which an image is transformed perspectively from downward-looking state to forward-looking state; the other is the indirect location model, through which the position of a building is computed in an FLIR image. In addition, in order to illustrate the application scope of our method, the error analysis is presented. The proposed approach is validated by extensive experiments, with images taken in different weather conditions, seasons and at different times. Superior recognition results were obtained on three FLIR image sequences we collected. <\/jats:p>","DOI":"10.1142\/s0218001411008695","type":"journal-article","created":{"date-parts":[[2011,3,24]],"date-time":"2011-03-24T07:58:07Z","timestamp":1300953487000},"page":"431-448","source":"Crossref","is-referenced-by-count":2,"title":["BUILDING RECOGNITION BASED ON INDIRECT LOCATION OF PLANAR LANDMARK IN FLIR IMAGE SEQUENCES"],"prefix":"10.1142","volume":"25","author":[{"given":"DENGWEI","family":"WANG","sequence":"first","affiliation":[{"name":"National Key Laboratory of Science and Technology on Multispectral Information Processing, Institute for Pattern Recognition and Artificial Intelligence (IJPRAI), Huazhong University of Science and Technology (HUST), Wuhan 430074, P. R. China"}]},{"given":"TIANXU","family":"ZHANG","sequence":"additional","affiliation":[{"name":"National Key Laboratory of Science and Technology on Multispectral Information Processing, Institute for Pattern Recognition and Artificial Intelligence (IJPRAI), Huazhong University of Science and Technology (HUST), Wuhan 430074, P. R. China"}]},{"given":"MEIJUN","family":"WAN","sequence":"additional","affiliation":[{"name":"National Key Laboratory of Science and Technology on Multispectral Information Processing, Institute for Pattern Recognition and Artificial Intelligence (IJPRAI), Huazhong University of Science and Technology (HUST), Wuhan 430074, P. R. China"}]},{"given":"WENJUN","family":"SHI","sequence":"additional","affiliation":[{"name":"Graduate Students' Brigade of Naval Aeronautical and Astronautical University, Yantai 264001, P. R. China"}]},{"given":"LONGSHENG","family":"WEI","sequence":"additional","affiliation":[{"name":"National Key Laboratory of Science and Technology on Multispectral Information Processing, Institute for Pattern Recognition and Artificial Intelligence (IJPRAI), Huazhong University of Science and Technology (HUST), Wuhan 430074, P. R. China"}]},{"given":"XIAOYU","family":"YANG","sequence":"additional","affiliation":[{"name":"National Key Laboratory of Science and Technology on Multispectral Information Processing, Institute for Pattern Recognition and Artificial Intelligence (IJPRAI), Huazhong University of Science and Technology (HUST), Wuhan 430074, P. R. China"}]}],"member":"219","published-online":{"date-parts":[[2011,11,21]]},"reference":[{"key":"rf1","first-page":"283","volume":"1","author":"Hu J.","journal-title":"IEEE Int. Conf. Syst. 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