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Motion Sensing Introduction

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    Zeroth Review

    Real Time MotionSensing AndRobotic Control

    Nikhil Kumar K (EC12B1018)Vignesh D (EC12B1029)

    Mr. Malaya Kumar NathAssistant ProfessorDept. of ECE

    Ms. K. Bala NivethaAssistant ProfessorDept. of ECE

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    Objective

    To design an Real Time Motion Sensing Algorithm

    The data should be processed to control a EmbeddedSystem based Robot

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    Materials and Methods

    The development comprises two phases. Phase - I - Algorithm Design

    Mathwork's Matlab Implementation

    OpenCV Implementation (Python - Raspberry Pi)

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    Materials and Methods

    Phase II - Hardware Implementation

    Raspberry PI with Camera PI

    Atmel Atmega8 Microcontroller

    Servo Motors

    Mechanical Assembly

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    Visual Tracking

    Wide Range of Applications such asMotion Analysis, Active Recognition,Surveillance and Human ComputerInteraction

    The Main Challenge of Visual Tracking isthat the algorithm should be robust andshould be able to process the frames inreal time with Maximum Accuracy.

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    Algorithm Development -

    The first proposed Algorithm will be High CompressionReal Time Algorithm having very high processing speed

    but less Accuracy.

    The frames will be dissimilated into the Surroundingand Object Matrices , followed by compression andClassifier Updation

    The same steps are performed for further frames,comparing classifiers to detect the Object.

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    Algorithm Development -

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    Algorithm Development -

    The Second Proposed algorithm will beMachineLearning based Spatio - Temporal Context.

    By using the Spatial Weight Function, we obtain theFocus of Attention , using which the Frame is Processedto get the Frame of Attention.

    Frequency Domain Analysis of focus is performed toSense the motion to obtain the Filter which is convolutedwith the Next frame to get object location.

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    Algorithm Development -

    Basic Flow of the Proposed Machine Learning Based Algorithm

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    !ard"are mplementation

    The algorithm developed will be implemented in

    Raspberry PI B Model, with Camera Pi Attached to it.

    The GPIO Pins will them be Connected to Atmega8Based Embedded System. Raspberry Pi acts as

    Processing unit and Atmega8 acts as Controller Unit forservo Mechanisms.

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    The #asic #lockRaspberry PIAtmel Atmega8Servo Motors

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    Re$erences

    Real-Time Compressive Trackingby Kaihua Zhang,LeiZhang and Ming-Hsuan Yang (IEEE)

    Fast Visual Trackingby Kaihua Zhang, Lei Zhang,Qingshan Liu, David Zhang and Ming-Hsuan Yang

    (IEEE)

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    Thank %ou


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