Visual tracking is one of the key components for robots to accomplish a given task in a dynamic environment, especially when independently moving objects are included. This paper proposes an extension of ADaptive Visual Servoing (hereafter, AVS) for unknown moving object tracking. The method utilizes binocular stereo vision, but does not need the knowledge of camera parameters. Only one assumption is that the system need stationary references in the both images by which the system can predict the motion of unknown moving objects. The basic ideas how we extended the AVS method such that it can track unknown moving objects are given and formalized into a new AVS system. The experimental results with proposed control architecture are shown and a discussion is given.
標簽： components accomplish tracking dynamic
上傳時間： 2013-12-11
上傳用戶：lizhen9880
迭代自適應Simpson，Lobatto積分 In almost every standard book on numerics quadrature algorithms like the ADaptive Simpson or the ADaptive Lobatto algorithm are presented in a recursive way. The benefit of the recursive programming is the compact and clear representation. However, recursive quadrature algorithms might be transformed into iterative quadrature algorithms without major modifications in the structure of the algorithm. We present iterative ADaptive quadrature algorithm (ADaptiveSimpson and ADaptiveLobatto), which preserves the compactness and the clarity of the recursive algorithms (e.g. quad, quadv, and quadl). Our iterative algorithm provides a parallel calculation of the integration function, which leads to tremendous gain in run-time, in general. Our results suggest a general iterative and not a recursive implementation of ADaptive quadrature formulas, once the programming language permits parallel access to the integration function. For details the attached PDF file Conrad_08.pdf.
上傳時間： 2014-10-25
上傳用戶：xc216
RECOMMENDATION ITU-R M.1678，ADaptive antennas for mobile systems
標簽： RECOMMENDATION ITU-R 1678
上傳時間： 2016-10-21
上傳用戶：tb_6877751
做網格的好程序，PARAMESH is a package of Fortran 90 subroutines designed to provide an application developer with an easy route to extend an existing serial code which uses a logically cartesian structured mesh into a parallel code with ADaptive mesh refinement(AMR).
上傳時間： 2014-01-06
上傳用戶：壞壞的華仔
自適應turbo碼OFDM的研究論文。國外碩士論文，對OFDM研究者有一定的參考作用。-- ADaptive turbo-coded OFDM, Thesis submitted to the Faculty of the Virginia Polytechnic Institute and State university in partial fulfillment of the requirements for the degree of Master of Science in Electrical Engineering.
上傳時間： 2013-12-09
上傳用戶：784533221
馬維達翻譯的學習ACE的經典書籍，是學習ACE網絡編程不可少的工具書。ACE自適配通信環境 (ADaptive Communication Environment)是面向對象的框架和工具包，它為通信軟件實現了核心的并發和分布式模式。ACE包含的多種組件可以幫助通信軟件的開發獲得更好的靈活性、效率、可靠性和可移植性。
上傳時間： 2013-12-24
上傳用戶：hoperingcong
學位論文；運動物體跟蹤方法主要包括卡爾曼濾波，Mean-shift，Camshifi算法，粒子濾波器，Snake模型等；應用卡爾曼濾波方法設計了一套煤礦礦工出入自動監測系統；提出了一種新的基于高斯混合模型的顏色特征提取方法，該方法克服了現有的Camshift算法Continuousl y ADaptive eanshift中跟蹤目標特征提取精確度低和計算復雜度高的缺陷
上傳時間： 2017-01-14
上傳用戶：JasonC
Neural Networks at your Fingertips.rar =============== Network: Adaline Network =============== Application: Pattern Recognition Classification of Digits 0-9 Author: Karsten Kutza Date: 15.4.96 Reference: B. Widrow, M.E. Hoff ADaptive Switching Circuits 1960 IRE WESCON Convention Record, IRE, New York, NY, pp. 96-104, 1960
標簽： Network Fingertips Networks Adaline
上傳時間： 2014-12-22
上傳用戶：lizhizheng88
pdf格式的英文文獻，是關于認知無線電網絡的，編者是加拿大桂爾夫大學的Qusay H. Mahmoud。ISBN：978-0-470-06196-1 章節內容： 1 Biologically Inspired Networking 2 The Role of Autonomic Networking in Cognitive Networks 3 ADaptive Networks 4 Self-Managing Networks 5 Machine Learning for Cognitive Networks: Technology Assessment and Research Challenges 6 Cross-Layer Design and Optimization in Wireless Networks 等，共計13章，全書348頁，pdf文件383頁。
標簽： 英文
上傳時間： 2014-01-27
上傳用戶：daguda
C Algorithms for Real-Time DSP Chapter 5 presents several real-time DSP applications, including speech compression music signal processing radar signal processing and ADaptive signal processing techniques.
標簽： applications Algorithms Real-Time DSP
上傳時間： 2013-12-27
上傳用戶：王者A
