正文內容

稀疏表示目標關聯(文件)

2026-07-15 23:57 上一頁面

下一頁面

　

【正文】 ackground subtraction. Pattern Recognition Letters,27(7):773–780, 2006.[5] Yongquan Xia。[7] , Effcient nonparametric kernel density estimation for realtime puter vision, . thesis, Rutgers, The State University of New Jersey (2002). [8] Mittal, A.。 Kellokumpu, V.。 Fleet, .。92., 1992[11] Takala V, Pietikainen M. Multiobject tracking using color, texture and motion. VS, 2007:1－7.[12] Ma LL, Cheng Jian, Lu HQ. Multicue collaborative kernel tracking with cross ratio invariant , 2008:665－672.[13] Kumar P, Brooks MJ. An adaptive bayesian technique for tracking multiple objects. Pattern Recognition,2007:657－665.[14] Li Z., Gong HF, ZHu SC. Dynamic feature cascade for multiple object tracking with track ability , 2007:350~361.[15] Pernkopf F. Tracking of multiple targets using online learning for reference model adaptation. IEEE Trans on SMCB, 2008,38(6):1465－1475.[16] 常發亮, 馬麗, 喬誼正. 視頻序列中面向人的多目標跟蹤算法. 控制與決策, 2007,22(4):418－422.[17] Osawa TS, Wu XJ, Wakabayashi KR. Human tracking by particle filtering using full 3d model of both target and environment using full 3d model of both target and environment. ICPR, 2006.[18] Yao Jian, Odobez JM. Multicamera 3D person tracking with particle filter in a surveillance environment. EUSIPCO, 2008:25－29.[19] Osawa T, Sudo K, Arai H. Monocular 3D tracking of multiple interacting Targets. ICPR, 2008:1－4.[20] [D].：2009.[21] 孔慶杰. 面向廣域視頻監控的無重疊視域多攝像機目標跟蹤[J]. 2007年全國模式識別學術會議論文集，2007.[22] Nils T Siebel, Stephen J Mayban. The ADVISOR Visual Surveillance System[A]. In: Proceedings of the ECCV Workshop on Applications of Computer Vision[C], Prague, 2004: 103111.[23] , ’Orazio , . Moving object segmentation by background subtraction and temporal analysis[J].Image and Vision Computing,2006,24(5):411423[24] Stauffer C,Grimson WEL. Adaptive Background Mixture Models for RealTime Tracking. In Proc. Computer Vision and Pattern Recognition 1999(CVPR ‘99), June 1999.[25] Elgammal A, Harwood D, Davis L, Nonparametric Model for background Subtraction. In Proc. Of ICCV ’99 FRAMERATE Workshop, 1999.[26] Han B,Comaniciu D, Davis L, Sequntial kernel density approximation through mode progagation:applications to background modeling. In Proc. ACCVAsian Conf. On Computer Vision,2004.[27] Kim K, Chalidabhongse TH, Harwood D, Davis L. Realtime forgroundbackground segment using codebook model. RealTime Imaging,2005.[28] Robert T Collins, Alan J Lipton, Takeo Kanade, et al. A system for video Surveillance and Monitoring[R]. Pittsburgh: Carnegie Mellon University, 2000: 168.[29] , ’Orazio , . Moving object segmentation by background

點擊復制文檔內容

黨政相關相關推薦

稀疏表示目標關聯(文件)

關聯交易自查報告-資料下載頁

試論關聯方審計實務-資料下載頁

基于稀疏表達的圖像恢復算法的研究畢業論文-資料下載頁

關聯詞語練習及答案-資料下載頁

關聯詞大全及答案-資料下載頁

突變表示方法-資料下載頁

森林經理抽樣調查-稀疏總體抽樣方法講課-資料下載頁

企業會計準則之關聯方關系和關聯方交易-資料下載頁

【管理精品】關聯交易回避制度-資料下載頁

同業競爭關聯交易問題匯總-資料下載頁

高考常見關聯詞搭配-資料下載頁

關聯公司借款合同范本-資料下載頁

ipo同業競爭與關聯交易-資料下載頁

關聯企業概念之法律透視-資料下載頁

楞次定律與因果關聯-資料下載頁

稀疏表示目標關聯(完整版)

稀疏表示目標關聯(更新版)

稀疏表示目標關聯(專業版)

稀疏表示目標關聯(留存版)