文献
J-GLOBAL ID:202202269962937596
整理番号:22A0970901
実時間トラッキングのための融合特徴と信頼できる応答による相関フィルタの学習【JST・京大機械翻訳】
Learning correlation filter with fused feature and reliable response for real-time tracking
著者 (4件):
Lin Bin
(School of Computer Science, National Engineering Laboratory for Integrated Aero-Space-Ground-Ocean Big Data Application Technology, Shaanxi Provincial Key Laboratory of Speech and Image Information Processing, Northwestern Polytechnical University, Xi’an, People’s Republic of China)
,
Xue Xizhe
(School of Computer Science, National Engineering Laboratory for Integrated Aero-Space-Ground-Ocean Big Data Application Technology, Shaanxi Provincial Key Laboratory of Speech and Image Information Processing, Northwestern Polytechnical University, Xi’an, People’s Republic of China)
,
Li Ying
(School of Computer Science, National Engineering Laboratory for Integrated Aero-Space-Ground-Ocean Big Data Application Technology, Shaanxi Provincial Key Laboratory of Speech and Image Information Processing, Northwestern Polytechnical University, Xi’an, People’s Republic of China)
,
Shen Qiang
(Department of Computer Science, Faculty of Business and Physical Sciences, Aberystwyth University, Aberystwyth, UK)
資料名:
Journal of Real-Time Image Processing
(Journal of Real-Time Image Processing)
巻:
19
号:
2
ページ:
417-427
発行年:
2022年
JST資料番号:
W4661A
ISSN:
1861-8200
資料種別:
逐次刊行物 (A)
記事区分:
原著論文
発行国:
ドイツ (DEU)
言語:
英語 (EN)