KLTKanade-Lucas-Tomasi feature tracking algorithm in embedded hardware

Jan 02, 2013

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KLTKanade-Lucas-Tomasi feature tracking algorithm in embedded hardware

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Embedded System Hardware

Stand-alone Processors page 38Integrated Processors: Systems on Chip page 43Hardware Platforms page 61Chapter Summary page 62. Processor Basics. 2. Stand-alone processors refer to processor chips that are dedicated solely to the processing function.As opposed to integrated processors, stand-alon

978 views • 69 slides

Person Detection and Tracking using Binocular Lucas-Kanade Feature Tracking and K-means Clustering

Person Detection and Tracking using Binocular Lucas-Kanade Feature Tracking and K-means Clustering. Chris Dunkel. Committee: Dr. Stanley Birchfield, Committee Chair Dr. Adam Hoover Dr. Richard Brooks. The Importance of Person Detection. Critical technology for machine/human interaction

580 views • 29 slides

Feature tracking Class 5

Feature tracking Class 5. Read Section 4.1 of course notes http://www.cs.unc.edu/~marc/tutorial/node49.html Read Shi and Tomasi’s paper on good features to track http://www.unc.edu/courses/2004fall/comp/290/089/papers/shi-tomasi-good-features-cvpr1994.pdf Read Lowe’s paper on SIFT features

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Feature Tracking

Feature Tracking. Feature Tracking. Keeping track of all the features that have been requested. Keeping track of all the steps required to validate, specify, design, code, and test each feature Necessary because to not lose any requested features to co-ordinate feature addition

279 views • 12 slides

Cell Tracking Algorithm (R3)

Dan Cecil, UAH Cecild@uah.edu. Cell Tracking Algorithm (R3). Objectives:. Fully automated tracking of thunderstorms, so lightning statistics can be trended Cell Tracker is to be the “home” for Lightning Jump Algorithm - LJA depends on time history of flashes in the tracked cell

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Controlling embedded hardware

Erlang in global radio astronomy. Controlling embedded hardware. Harro Verkouter/Joint Institute for VLBI in Europe. Joint Institute for VLBI in Europe. V ery L ong B aseline I nterferometry. 5m. 100m. Ever larger telescopes. 15cm. Electromagnetic radiation. wavelength. diameter.

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GENERAL PARTICLE TRACKING ALGORITHM

GENERAL PARTICLE TRACKING ALGORITHM. Sources of Information : Phoenics Lecture: GENTRA Workshop : GENTRA GENTRA user guide: (html) or (PDF). Coupling of the Interfacial Force to the Continuous Phase. Introduction.

444 views • 31 slides

Embedded System Hardware

Embedded System Hardware. Embedded system hardware is frequently used in a loop ( “hardware in a loop“ ):. actuators. Why worry about energy and power?. Processing units. Need for efficiency (power + energy):.

575 views • 20 slides

Hardware Feature Edges

Hardware Feature Edges. Hardware Feature Edges. June 7, 2004 Morgan McGuire and John F. Hughes Brown University NPAR 2004. Goal. Find and stroke feature edges on the GPU. Feature Edges. Contour Front-face meets back-face Boundary Ridge Valley Silhouette Subset of contour

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Embedded Hardware Foundation

Embedded Hardware Foundation. Content. CPU Bus Memory I/O Design, develop and debug. 1. CPU. I/O programming Busy/wait Interrupt-driven Supervisor mode, exceptions, traps Co-processor Memory System Cache Memory management Performance and power consumption. I/O devices.

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Embedded Hardware

Embedded Hardware. Embedded System Hardware. Embedded system hardware is used for processing sensor input to produce output in task specific fashion. Information Processing System. Output Interface. Input Interface. Processors. Key requirements: Energy-efficiency

1.46k views • 105 slides

Embedded System Hardware

Embedded System Hardware. Embedded system hardware is frequently used in a loop ( „hardware in a loop“ ):. actuators. Why worry about energy and power?. Processing units. Need for efficiency (power + energy):.

506 views • 25 slides

Feature Tracking Process Analysis

Feature Tracking Process Analysis. Barron Henderson, William Vizuete, and Harvey Jeffries. 5th Annual CMAS Conference Friday Center October 16-18, 2006 http://ftpozone.sph.unc.edu. Outline. History and Functionality Recent Enhancements Potential Applications.

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Embedded Algorithm in Hardware : A Scalable Compact Genetic Algorithm

Embedded Algorithm in Hardware : A Scalable Compact Genetic Algorithm. Prabhas Chongstitvatana Chulalongkorn University. What is Genetic Algorithms.

457 views • 24 slides

Feature tracking Class 5

354 views • 34 slides

Embedded System Hardware

417 views • 20 slides

Embedded Hardware Foundation

718 views • 69 slides

Embedded Hardware Design Challenges

Embedded systems are now rigorously used in almost every sphere of our life from AC controllers, connected cars, vending machines, printers, smart kiosks, etc. Embedded hardware designs need a lot of specifications to perform tasks with perfection. And in a continuous integrating environment such as IoT, these challenges show the complexity of the tasks involved.

89 views • 5 slides

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