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7/25/2019 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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