This library implements the KLT Tracking algorithm [2004] for Feature Tracking in Video useful in computer vision tasks like object Recognition, image indexing, tracking and structure from motion. This implementation uses programmable Graphics Hardware to achieve considerable speedup in the running time of the GPU-based implementation.
標簽： Tracking implements algorithm Feature
上傳時間： 2013-12-19
上傳用戶：WMC_geophy
the book provides many solved examples that illustrate the principles involved, and includes, in addition, two chapters that deal exclusively with applications of unconstrained and constrained optimization methods to problems in the areas of pattern Recognition, control systems, robotics, communication systems, and the design of digital filters. For each application, enough background information is provided to promote the understanding of the optimization algorithms used to obtain the desired solutions.
標簽： illustrate principles the provides
上傳時間： 2014-01-20
上傳用戶：woshiayin
它是SourceForge上的一個開源項目，使用Malib實現實時處理，CSU Face Identification Evaluation System進行人臉識別。算法包括：主成份分析(principle components analysis (PCA)),a.k.a eigenfaces算法,混合主成份分析,線性判別分析(PCA+LDA),圖像差分分類器(IIDC),彈性圖像匹配算法(EBGM)等等 Malic is realtime face Recognition system that based on Malib and CSU Face Identification Evaluation System (csuFaceIdEval). Uses Malib library for realtime image processing and some of csuFaceIdEval for face Recognition.
標簽： SourceForge 開源 項目
上傳時間： 2014-01-21
上傳用戶：sz_hjbf
Pattern Analysis is the process of fi nding general relations in a set of data, and forms the core of many disciplines, from neural networks to so-called syn- tactical pattern Recognition, from statistical pattern Recognition to machine learning and data mining. Applications of pattern analysis range from bioin- formatics to document retrieval.
標簽： the relations Analysis Pattern
上傳時間： 2017-09-07
上傳用戶：SimonQQ
This is PCA_Tutorial on Matlab for face Recognition. If u want to use u can download it and use it.
標簽： PCA_Tutorial
上傳時間： 2015-06-23
上傳用戶：558866
Pattern Recognition and Machine Learning
上傳時間： 2016-06-01
上傳用戶：who123321
Identification is pervasive nowadays in daily life due to many complicated activities such as bank and library card reading, asset tracking, toll collecting, restricted access to sensitive data and procedures and target identification. This kind of task can be realized by passwords, bio- metric data such as fingerprints, barcode, optical character Recognition, smart cards and radar. Radiofrequencyidentification(RFID)isatechniquetoidentifyobjectsbyusingradiosystems. It is a contactless, usually short distance, wireless data transmission and reception technique for identification of objects. An RFID system consists of two components: the tag (also called transponder) and the reader (also called interrogator).
標簽： Processing Digital Signal RFID for
上傳時間： 2020-06-08
上傳用戶：shancjb
Radio frequency identification (RFID) and Wireless sensor networks (WSN) are the two key wireless technologies that have diversified applications in the present and the upcoming systems in this area. RFID is a wireless automated Recognition technology which is primarily used to recognize objects or to follow their posi- tion without providing any sign about the physical form of the substance. On the other hand, WSN not only offers information about the state of the substance and environment but also enables multi-hop wireless communications.
標簽： Architecture Integrated RFID-WSN
上傳時間： 2020-06-08
上傳用戶：shancjb
If you are acquainted with neural networks, automatic control problems are good industrial applications and have a dynamic or evolutionary nature lacking in static pattern-Recognition; control ideas are also prevalent in the study of the natural neural networks found in animals and human beings. If you are interested in the practice and theory of control, artificial neu- ral networks offer a way to synthesize nonlinear controllers, filters, state observers and system identifiers using a parallel method of computation.
標簽： Control Systems Neural For
上傳時間： 2020-06-10
上傳用戶：shancjb
研究一種智能掃地機器人。從硬件系統控制模塊設計到主要技術調試進行了較詳細的闡述。以STM32單片機為控制核心與電機驅動、紅外線路徑識別模塊等相互協調應用。進行電路搭建和程序編寫。實現了智能掃地機器人紅外線避障和自動掃地功能,其清掃面積能達到約70%,清掃率約60%,很大程度受到自身機械機構的限制,后期將對小車的機械結構進行完善。This paper studies an intelligent sweeping robot.From the hardware system control module design to the main technical debugging are described in detail.STM32 MCU is used as the control core to coordinate with motor drive and infrared path Recognition module.Conduct circuit building and programming.The functions of infrared obstacle avoidance and automatic sweeping of intelligent sweeping robot are realized.Its cleaning area can reach about 70%and the cleaning rate is about 60%.Because it is limited by its own mechanical mechanism to a great extent,the mechanical structure of the car will be improved in the later stage.
標簽： 掃地機器人
上傳時間： 2022-03-26
上傳用戶：
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