文献
J-GLOBAL ID:201702246337430199
整理番号:17A1730921
改良Lucas kanadeスパースオプティカルフローアルゴリズムに基づく物体追跡法移動【Powered by NICT】
Moving object tracking method based on improved lucas-kanade sparse optical flow algorithm
著者 (6件):
Dan Li
(Department of Information and Electric Engineering, Key Laboratory of Intelligent Industrial Control Technology of Jiangsu Province, Machine Vision Applications Engineering and Technology Research Center of Xuzhou, Xuzhou Institute of Technology Xuzhou Jiangsu, China)
,
Dai-Hong Jiang
(Department of Information and Electric Engineering, Key Laboratory of Intelligent Industrial Control Technology of Jiangsu Province, Machine Vision Applications Engineering and Technology Research Center of Xuzhou, Xuzhou Institute of Technology Xuzhou Jiangsu, China)
,
Rong Bao
(Department of Information and Electric Engineering, Key Laboratory of Intelligent Industrial Control Technology of Jiangsu Province, Machine Vision Applications Engineering and Technology Research Center of Xuzhou, Xuzhou Institute of Technology Xuzhou Jiangsu, China)
,
Jin-Ping Sun
(Department of Information and Electric Engineering, Key Laboratory of Intelligent Industrial Control Technology of Jiangsu Province, Machine Vision Applications Engineering and Technology Research Center of Xuzhou, Xuzhou Institute of Technology Xuzhou Jiangsu, China)
,
Wen-Jing Zhao
(Department of Information and Electric Engineering, Key Laboratory of Intelligent Industrial Control Technology of Jiangsu Province, Machine Vision Applications Engineering and Technology Research Center of Xuzhou, Xuzhou Institute of Technology Xuzhou Jiangsu, China)
,
Chao WANG
(School of Electronic and Information Engineering, Nanjing University of Information Science and Technology, Nanjing Jiangsu, China)
資料名:
IEEE Conference Proceedings
(IEEE Conference Proceedings)
巻:
2017
号:
ISC2
ページ:
1-5
発行年:
2017年
JST資料番号:
W2441A
資料種別:
会議録 (C)
記事区分:
原著論文
発行国:
アメリカ合衆国 (USA)
言語:
英語 (EN)