Object Tracking | Computer Vision Theory and Projects in Python for Beginners

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Computer Vision Theory and Projects in Python for Beginners

By : AI Sciences

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Computer Vision Theory and Projects in Python for Beginners

By: AI Sciences

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Overview of this book

The high-quality content of the Mastering Computer Vision from the Absolute Beginning Using Python course presents you with a great opportunity to learn and become an expert. You will learn the core concepts of the CV field. This course will also help you understand the digital imaging process and identify the key application areas of CV. The course is easy to understand, descriptive, comprehensive, practical with live coding, and rich with state-of-the-art and updated knowledge of this field. Although this course is a compilation of all the basic concepts of CV, you are encouraged to step up and experience more than what you learn. Your understanding of every concept is tested at the end of each section. The homework assignments/tasks/activities/quizzes along with solutions will assess your learning. Several of these activities are focused on coding so that you are ready to run with implementations. The two hands-on projects in the last section—Change Detection in CCTV Cameras (Real-Time) and Smart DVRs (Real-Time)—make up the most important learning element of this course. They will help you sharpen your practical skills. Successful completion of these two projects will help you enrich your portfolio and kick-start your career in the CV field. By the end of the course, you will have a strong understanding of Computer Vision concepts and will be ready to apply them in your future projects. Code bundles are available here: https://github.com/PacktPublishing/Computer-Vision-Theory-and-Projects-in-Python-for-Beginners

Introduction to Course and Instructor

Introduction to the Course

Introduction to Instructor

About AI Sciences

Course Outline (Optional)

Computer Vision Applications

Final Project

Introduction to Images

Grayscale Image

Quiz (Grayscale Image)

Solution (Grayscale Image)

Grayscale Spectrum

Reading, Manipulating, and Saving Grayscale Image using Matplotlib Python

Quiz (Reading, Manipulating, and Saving Grayscale Image using Matplotlib Python)

Solution (Reading, Manipulating, and Saving Grayscale Image using Matplotlib Python)

Reading, Manipulating, and Saving Grayscale Image using OpenCV Python

Introduction to RGB Images

Quiz (Introduction to RGB Images)

Solution (Introduction to RGB Images)

RGB Color Images Matplotlib and OpenCV

Quiz (RGB Color Images Matplotlib and OpenCV)

Solution (RGB Color Images Matplotlib and OpenCV)

RGB to HSV theory and Algorithm

RGB to HSV Algorithm Implementation using Python

Quiz (RGB to HSV Algorithm Implementation using Python)

Solution (RGB to HSV Algorithm Implementation using Python)

Red Rose Extraction or Segmentation using HSV Python

Quiz (Red Rose Extraction or Segmentation using HSV Python)

Solution (Red Rose Extraction or Segmentation using HSV Python)

Hyper Spectral Images

2D Scaling Transformations

Introduction to Geometric Transformations

Scaling Example in OpenCV

Quiz (Scaling Example in OpenCV)

Solution (Scaling Example in OpenCV)

Scaling in Real Space

Quiz (Scaling in Real Space)

Solution (Scaling in Real Space)

Linear Transformation Explained

Scaling is a Linear Transformation

Scaling as a Matrix Multiplication Example Python

Quiz (Scaling as a Matrix Multiplication Example Python)

Solution (Scaling as a Matrix Multiplication Example Python)

Image Coordinate System

Image Copy and Flipping Vertically

Quiz 01 (Image Copy and Flipping Vertically)

Solution 01 (Image Copy and Flipping Vertically)

Quiz 02 (Image Copy and Flipping Vertically)

Solution 02 (Image Copy and Flipping Vertically)

Continuous Coordinates

Saturations and Holes

Image Doubling and Holes using Python

Inverse Scaling and Quiz

Solution and Nearest Neighbor Interpolation

Inverse Scaling Python

Quiz 01 (Inverse Scaling Python)

Solution 01 (Inverse Scaling Python)

Quiz 02 (Inverse Scaling Python)

Solution 02 (Inverse Scaling Python)

Nearest Neighbor Interpolation

Weighted Average Versus Simple Average

Bilinear Interpolation

Bilinear Interpolation Implementation in Python

Scaling Transformation with Bilinear Interpolation Implementation

Scaling Transformation Algorithm(Recap)

Exam

Exam Solution 01

Exam Solution 02

2D Geometric Transformations

Rotation Introduction

Optional Rotation is Linear Transform Proof

Rotation can Result Negative Coordinates (Problem)

Rotation Computing Width and Hight of Resultant Image(Solution)

Rotation Index Shifting

Quiz (Rotation Index Shifting)

Solution (Rotation Index Shifting)

Rotation Implementation Complete

Quiz (Rotation Implementation Complete)

Solution (Rotation Implementation Complete)

Rotation Implementation (Good Coding Practice)

Quiz: Rotation Implementation (Good Coding Practice)

Solution: Rotation Implementation (Good Coding Practice)

Reflection Introduction

Quiz (Reflection Introduction)

Solution (Reflection Introduction)

Reflection Implementation

Quiz 01 (Reflection Implementation)

Solution 01 (Reflection Implementation)

Quiz 02 (Reflection Implementation)

Solution 02 (Reflection Implementation)

Shear Introduction

Shear Implementation and Quiz

Translation and its Nonlinearity (Problem)

Homogeneous Coordinates

Translation as a Matrix (Solution)

Homogeneous Representations of All Transformations

Affine Transformation Implementation

Quiz (Affine Transformation Implementation)

Rotation about Any Point Theory

Rotation about Any Point Implementation

Reflection about a Line Quiz

Solution (Reflection about a Line)

Transformation Matrix Properties

Transformation Matrix Properties Implementation

Affine Transformation Hierarchy

Optional Affine Transformation SVD

Projective Transformation Homography

Projective Transformation Implementation

Projective Warping Algorithm

Geometric Transformation Estimation (Panorama)

Goal

Affine Transformation Estimation Introduction

Quiz (Affine Transformation Estimation Introduction)

Solution (Affine Transformation Estimation Introduction)

Affine Transformation Estimation Points Correspondences

Estimation Points Marking using Python and Quiz

Affine Transformation Min Number of Points Needed

Affine Transformation Estimation using Python

Affine Transformation Estimation Verification using Python

Affine Transformation Estimation with More Than Three Points

Quiz (Affine Transformation Estimation with More Than Three Points)

Solution (Affine Transformation Estimation with More Than Three Points)

Affine Transformation Estimation with More Than Three Points Implementation

Quiz (Affine Transformation Estimation with More Than Three Points Implementation)

Solution (Affine Transformation Estimation with More Than Three Points Implementation)

Optional Affine Transformation Estimation with LeastSquared

Projective Transformation Estimation Introduction

Projective Transformation Estimation First Implementation having Bug

Projective Transformation Estimation Reason of the Bug

Projective Transformation Estimation Removing Scale Factor

Projective Transformation Estimation DLT

Projective Transformation Estimation DLT Nullspace and Why Four Points

Projective Transformation Estimation DLT Nullspace Implementation

DLT Implementation

Quiz (DLT Implementation)

Panorama Stitching

Panorama Stitching Implementation in OpenCV

How Projective Transformation Helps in Panorama

Binary Morphology

Binary Images Theory

Binary Images Python

Structuring Element Kernel and Sliding Window Theory

Structuring Element Python

Erosion Theory

Quiz 01 (Erosion Theory)

Solution 01 (Erosion Theory)

Quiz 02 (Erosion Theory)

Solution 02 (Erosion Theory)

Erosion Python

Dilation Theory

Quiz 01 (Dilation Theory)

Solution 01 (Dilation Theory)

Quiz 02 (Dilation Theory)

Solution 02 (Dilation Theory)

Dilation Python

Opening Theory

Opening Python

Closing Theory

Closing Python

Gradient Morphology

Gradient Morphology Python

Top Hat and Black Hat

Image Filtering

Image Blurring 01

Image Blurring 02

General Image Filtering

Convolution

Naive Edge Detection

Image Sharpening

Quiz (Image Sharpening)

Solution (Image Sharpening)

Implementation of Image Blurring, Edge Detection, and Image Sharpening in Python

Low Pass, High Pass, and Band Pass Filters

Canny Edge Detector

Canny Edge Detector Algorithm Introduction

Canny Edge Detector OpenCV

Quiz (Canny Edge Detector OpenCV)

Solution (Canny Edge Detector OpenCV)

Gaussian Filter Introduction

Gaussian Filter to Mask Computation

Gaussian Filter Window Size

Gaussian Filter Implementation

Quiz (Gaussian Filter Implementation)

Solution (Gaussian Filter Implementation)

Gaussian Filter Smoothing Implementation

Quiz (Gaussian Filter Smoothing Implementation)

Solution (Gaussian Filter Smoothing Implementation)

Image Gradients Theory

Image Gradients Implementation

Image Gradients Implementation Datatype Bug

Derivative of Gaussian

Derivative of Gaussian Expression

Derivative of Gaussian Implementation

Applying DOG Filters

Gradient Vector

Gradient Magnitude and Gradient Direction

Non-Maxima Suppression

Gradient Direction Quantization

Quiz (Gradient Direction Quantization)

Solution (Gradient Direction Quantization)

Gradient Direction Quantization Implementation

Gradient Direction Quantization Implementation Better Way

NMS Implementation

Quiz 01 (NMS Implementation)

Solution 01 (NMS Implementation)

Quiz 02 (NMS Implementation)

Solution 02 (NMS Implementation)

Last Step Thresholding

Hysteresis Thresholding

Hysteresis Thresholding Implementation

Shape Detection

Shape Detection Introduction

Why Edge Detection is not Enough

RANSAC Introduction

RANSAC For Lines Coordinate Arrays

RANSAC for Lines Sampling Points Randomly Implementation

Quiz (RANSAC for Lines Sampling Points Randomly Implementation)

Solution (RANSAC for Lines Sampling Points Randomly Implementation)

RANSAC for Lines - Fitting Line with Two Points

RANSAC for Lines - Fitting Line with Two Points Implementation

Quiz (RANSAC for Lines Fitting Line with Two Points Implementation)

Solution (RANSAC for Lines Fitting Line with Two Points Implementation)

RANSAC for Lines Computing Consistency Score

RANSAC For Lines Computing Consistency Score Implementation

RANSAC for Lines Implementation

RANSAC for Lines Implementation Test on Real Image

Drawback

RANSAC for Lines Implementation Test on Real Image Drawing and Quiz

RANSAC for Circles

RANSAC for Circles Consistency Score

RANSAC for Circles Implementation

RANSAC for Circles Implementation Real Image

Drawback

RANSAC for Circles Implementation Real Image Drawing

RANSAC General

RANSAC Quiz

RANSAC Quiz Solution

Shape Detection Hough Transform

Hough Transform Introduction

Hough Transform as Voting

Hough Transform as Voting Loop

Hough Transform Polar Representation

Hough Transform Polar Representation Benefits

Hough Transform Polar Representation Implementation

Hough Transform Lines Implementation Real Image

Hough Transform Lines Parameters Conversion

Hough Transform Lines Drawing

Solution (Hough Transform Lines Drawing)

Hough Transform Fast Version

Hough Transform Circles

Hough Transform Circles Implementation

Hough Transform Circles Implementation Drawing

Solution (Hough Transform Circles Implementation Drawing)

Corner Detection

Corner Definition

Why Corner

Corner Measure

SSD

Why SSD to be Muted Somewhere

Corner Detection Implementation 01

Corner Detection Implementation 02

Corner Detection Implementation 03

Moravec Corner Detector

Scale Space

Infinite Directions Towards Harris Corner Detector

Harris Corner Detector 01

Harris Corner Detector 02

Harris Corner Detector 03

Harris Corner Detector 04 Structure Tensor

Harris Corner Detector 05 Final Expression

Harris Corner Detector Implementation Speedup Convolution

Harris Corner Detector Implementation 01

Harris Corner Detector Implementation 02

Harris Corner Detector as Edge Detector

Automatic Panorama SIFT

Point Correspondence Introduction

Point Drawing Implementation

Scale and Orientation Alignment

SIFT and HOG

Points Matching

Object Detection

Introduction to Object Detection

Classification Pipeline

Sliding Window Implementation

Shift Scale Rotation Invariance

Person Detection

HOG Features

Hand Engineering Versus CNNs

Implementation

Activity

YOLO Object Detector

CNNS Introduction

Face Detection Implementation

YOLO Implementation

YOLO Image Classification Revisited

YOLO Sliding Window Object Localization

YOLO Sliding Window Efficient Implementation

YOLO Introduction

YOLO Training Data Generation

YOLO Anchor Boxes

YOLO Algorithm

YOLO Non-Maxima Suppression

YOLO RCNN

Motion

Optical Flow

BC Assumption

Optical Flow Derivation

Object Tracking

Tracking by Detection

Tracking by Detection Motion Model Assumption

Tracking KLT TLD

Single Object Tracking

Multiple Object Tracking

WebCam and Saving Annotations of Multiple Object Tracking

3D Reconstruction

3d Reconstruction Introduction

3d Motion Capture

Camera

Camera Matrix

Triangulation

Camera Matrix Estimation

Mocap Revisited

Smart CCTV Project

Introduction to the Project

Introduction to Data

Reading a Video File

Change Detection Frame Differencing

Change Detection Frame Differencing Implementation

Change Detection Background Subtraction

Change Detection Background Subtraction MOG

Denoising using Morphology

Connected Components

Connected Components Filtering

Tracking Change

Saving Segments

Saving and Viewing Segments

Saving and Viewing Segments with Object Detection

Applications

Computer Vision Theory and Projects in Python for Beginners

By : AI Sciences

Computer Vision Theory and Projects in Python for Beginners

By: AI Sciences

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