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Image Processing
Object Auto-tracking using Tracker
Abdallah Mohamed
Abdallah Mohamed
By the end of this project, you will be able to track two different objects easily using Tracker. You will be able to adjust video clip settings and make clips of it.Moreover, you will be able to calibrate your video and set up your coordinate axis. Learning...
Read more
By the end of this project, you will be able to track two different objects easily using Tracker. You will be able to adjust video clip settings and make clips of it.Moreover, you will be able to calibrate your video and set up your coordinate axis. Learning...
Read more
By the end of this project, you will be able to track two different objects easily using Tracker. You will be able to adjust video clip settings and make clips of it.Moreover, you will be able to calibrate your video and set up your coordinate axis. Learning such a skill can help you in your research projects at university or work. It is an added skill to your data analysis skills set that can give you a competitive edge in data science or computer vision career related opportunities. If you are an educator, it will help you to analyze real world physics problems with your students.
Register for this course and see more details by visiting:
OpenCourser.com/course/xvow9m/image
Good to know
Good to know
Know what's good ,
what to watch for , and
possible dealbreakers
Examines video analysis and tracking techniques which are standard in industries related to computer science and data science
Taught by Abdallah Mohamed, who is recognized for their work in image processing and computer vision
Develops data analysis and computer vision skills which are core for roles in research and development
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Activities
Be better prepared
before
your course. Deepen your understanding
during
and
after
it. Supplement your coursework and achieve mastery of the topics covered
in Image Processing: Object Auto-tracking using Tracker with these
activities:
Organize and review course notes, assignments, and resources
Show steps
Improve retention and understanding by organizing and reviewing course materials.
Browse courses on
Organization
Show steps
-
Create a system for organizing notes, assignments, and other course materials.
-
Regularly review and summarize key concepts and ideas from the course materials.
Review basic data analysis concepts
Show steps
Refresh foundational knowledge to enhance understanding of data analysis in the course.
Browse courses on
Data Analysis
Show steps
-
Review concepts of descriptive statistics, probability, and hypothesis testing.
-
Practice data visualization techniques using charts and graphs.
Seek guidance from experts in object tracking or data analysis
Show steps
Connect with experts to gain additional insights and support.
Browse courses on
Mentorship
Show steps
-
Identify potential mentors in the field of object tracking or data analysis.
-
Reach out to these individuals via email or LinkedIn.
-
Request guidance, advice, or support on specific topics related to the course.
Five other activities
Expand to see all activities and additional details
Show all eight activities
Explore the Tracker documentation
Show steps
Learn more about Tracker's features and capabilities.
Show steps
-
Visit the Tracker website and access the documentation.
-
Read through the sections on video calibration, coordinate axis setup, and object tracking.
Practice video calibration and setup
Show steps
Get comfortable with Tracker's visual interface through practice.
Show steps
-
Launch Tracker and import a video clip.
-
Adjust the video clip settings such as playback speed and zoom.
-
Calibrate the video camera using the provided calibration tool.
-
Set up the coordinate axis according to the instructions in the course.
Answer questions and provide guidance in course discussion forums
Show steps
Enhance understanding through engagement and by assisting peers.
Show steps
-
Participate in course discussion forums regularly.
-
Answer questions and provide helpful insights to other students.
-
Provide constructive feedback and encourage peer learning.
Create a video tutorial on tracking multiple objects
Show steps
Solidify understanding of multi-object tracking and reinforce teaching skills.
Browse courses on
Object Tracking
Show steps
-
Plan the content and structure of the tutorial.
-
Record yourself demonstrating how to track multiple objects using Tracker.
-
Add visual aids and explanations to enhance comprehension.
-
Edit and publish the tutorial on a video-sharing platform.
Develop a data analysis project using Tracker
Show steps
Apply knowledge of object tracking and data analysis to solve a real-world problem.
Show steps
-
Identify a research question or problem that can be addressed using object tracking.
-
Collect or create a video dataset that contains the objects of interest.
-
Use Tracker to track the objects in the video and extract relevant data.
-
Analyze the data and draw conclusions.
-
Present the findings in a report or presentation.
Organize and review course notes, assignments, and resources
Show steps
Improve retention and understanding by organizing and reviewing course materials.
Browse courses on
Organization
Show steps
Show steps
Show steps
- Create a system for organizing notes, assignments, and other course materials.
- Regularly review and summarize key concepts and ideas from the course materials.
Review basic data analysis concepts
Show steps
Refresh foundational knowledge to enhance understanding of data analysis in the course.
Browse courses on
Data Analysis
Show steps
Show steps
Show steps
- Review concepts of descriptive statistics, probability, and hypothesis testing.
- Practice data visualization techniques using charts and graphs.
Seek guidance from experts in object tracking or data analysis
Show steps
Connect with experts to gain additional insights and support.
Browse courses on
Mentorship
Show steps
Show steps
Show steps
- Identify potential mentors in the field of object tracking or data analysis.
- Reach out to these individuals via email or LinkedIn.
- Request guidance, advice, or support on specific topics related to the course.
Five other activities
Expand to see all activities and additional details
Show all eight activities
Explore the Tracker documentation
Show steps
Learn more about Tracker's features and capabilities.
Show steps
Show steps
Show steps
- Visit the Tracker website and access the documentation.
- Read through the sections on video calibration, coordinate axis setup, and object tracking.
Practice video calibration and setup
Show steps
Get comfortable with Tracker's visual interface through practice.
Show steps
Show steps
Show steps
- Launch Tracker and import a video clip.
- Adjust the video clip settings such as playback speed and zoom.
- Calibrate the video camera using the provided calibration tool.
- Set up the coordinate axis according to the instructions in the course.
Answer questions and provide guidance in course discussion forums
Show steps
Enhance understanding through engagement and by assisting peers.
Show steps
Show steps
Show steps
- Participate in course discussion forums regularly.
- Answer questions and provide helpful insights to other students.
- Provide constructive feedback and encourage peer learning.
Create a video tutorial on tracking multiple objects
Show steps
Solidify understanding of multi-object tracking and reinforce teaching skills.
Browse courses on
Object Tracking
Show steps
Show steps
Show steps
- Plan the content and structure of the tutorial.
- Record yourself demonstrating how to track multiple objects using Tracker.
- Add visual aids and explanations to enhance comprehension.
- Edit and publish the tutorial on a video-sharing platform.
Develop a data analysis project using Tracker
Show steps
Apply knowledge of object tracking and data analysis to solve a real-world problem.
Show steps
Show steps
Show steps
- Identify a research question or problem that can be addressed using object tracking.
- Collect or create a video dataset that contains the objects of interest.
- Use Tracker to track the objects in the video and extract relevant data.
- Analyze the data and draw conclusions.
- Present the findings in a report or presentation.
Career center
Learners who complete Image Processing: Object Auto-tracking using Tracker will develop knowledge and skills
that may be useful to these careers:
Image Processing Engineer
Image Processing Engineer
Image Processing Engineers develop and implement image processing algorithms. Image Processing: Object Auto-tracking using Tracker teaches skills such as data analysis, which is foundational for those pursuing a career as an Image Processing Engineer.
Computer Vision Engineer
Computer Vision Engineer
Computer Vision Engineers develop and implement computer vision systems, teaching computers to interpret and understand images. Image Processing: Object Auto-tracking using Tracker teaches skills such as data analysis, which is essential for those pursuing a career as a Computer Vision Engineer.
Data Analyst
Data Analyst
Data Analysts collect, analyze, and interpret data to help businesses make informed decisions. Image Processing: Object Auto-tracking using Tracker teaches skills such as data analysis, which is essential for those pursuing a career as a Data Analyst.
Product Manager
Product Manager
Product Managers plan, develop, and launch products. Image Processing: Object Auto-tracking using Tracker teaches skills such as data analysis, which may be useful to those pursuing a career as a Product Manager.
Consultant
Consultant
Consultants provide advice and expertise to businesses and organizations. Image Processing: Object Auto-tracking using Tracker teaches skills such as data analysis, which may be useful to those pursuing a career as a Consultant.
Technical Writer
Technical Writer
Technical Writers create documentation and other materials to help users understand and use products and services. Image Processing: Object Auto-tracking using Tracker teaches skills such as data analysis, which may be useful to those pursuing a career as a Technical Writer.
Robotics Engineer
Robotics Engineer
Robotics Engineers design, build, and maintain robots. Image Processing: Object Auto-tracking using Tracker teaches skills such as data analysis, which may be useful to those pursuing a career as a Robotics Engineer.
Software Developer
Software Developer
Software Developers design, develop, and maintain software applications. Image Processing: Object Auto-tracking using Tracker teaches skills such as data analysis, which may be useful to those pursuing a career as a Software Developer.
Research Scientist
Research Scientist
Research Scientists investigate and analyze data to find new applications and solutions to problems. Image Processing: Object Auto-tracking using Tracker provides skills such as data analysis, which may be useful to those pursuing a career as a Research Scientist.
Educator
Educator
Educators teach students at all levels, from preschool through university. Image Processing: Object Auto-tracking using Tracker teaches skills such as data analysis, which may be useful to those pursuing a career as an Educator.
Quality Assurance Analyst
Quality Assurance Analyst
Quality Assurance Analysts ensure that products and services meet quality standards. Image Processing: Object Auto-tracking using Tracker teaches skills such as data analysis, which may be useful to those pursuing a career as a Quality Assurance Analyst.
Project Manager
Project Manager
Project Managers plan, execute, and close projects. Image Processing: Object Auto-tracking using Tracker teaches skills such as data analysis, which may be useful to those pursuing a career as a Project Manager.
Data Scientist
Data Scientist
Data Scientists use their knowledge of statistics, programming, machine learning, and other skills to extract insights from data. Because Image Processing: Object Auto-tracking using Tracker teaches skills such as data analysis, it can be useful for those pursuing a career as a Data Scientist.
Business Analyst
Business Analyst
Business Analysts help businesses understand their needs and develop solutions to improve their operations. Image Processing: Object Auto-tracking using Tracker teaches skills such as data analysis, which may be useful to those pursuing a career as a Business Analyst.
Freelance Writer
Freelance Writer
Freelance Writers write content for websites, blogs, articles, and other publications. Image Processing: Object Auto-tracking using Tracker may be a useful course for those pursuing a career as a Freelance Writer, as it provides skills in data analysis and research.
For more career information including salaries, visit:
OpenCourser.com/course/xvow9m/image
Reading list
We've selected eight books
that we think will supplement your
learning. Use these to
develop background knowledge, enrich your coursework, and gain a
deeper understanding of the topics covered in
Image Processing: Object Auto-tracking using Tracker.
Save
This textbook provides a comprehensive overview of computer vision algorithms and applications, covering both the theoretical foundations and practical implementation details. It valuable resource for students, researchers, and practitioners in the field.
This well-known textbook provides a comprehensive introduction to digital image processing, covering topics such as image enhancement, restoration, compression, and analysis. It valuable reference for students, researchers, and practitioners in the field.
Provides a hands-on introduction to image, audio, and video processing using MATLAB®. It valuable resource for students, researchers, and practitioners who want to learn the fundamentals of these fields.
This handbook provides a comprehensive overview of image processing techniques, covering topics such as image acquisition, enhancement, restoration, compression, and analysis. It valuable reference for researchers and practitioners in the field.
This textbook provides a modern and comprehensive introduction to computer vision, covering topics such as image formation, feature detection, object recognition, and motion analysis. It valuable resource for students, researchers, and practitioners in the field.
Provides a hands-on introduction to deep learning techniques for computer vision, covering topics such as image classification, object detection, and segmentation. It valuable resource for students, researchers, and practitioners in the field.
This textbook provides a practical introduction to digital image processing, covering topics such as image acquisition, enhancement, restoration, compression, and analysis. It valuable resource for students, researchers, and practitioners in the field.
Provides an introduction to image processing for computer vision, covering topics such as image acquisition, enhancement, restoration, compression, and analysis. It valuable resource for students, researchers, and practitioners in the field.
For more information about how these books relate to this course, visit:
OpenCourser.com/course/xvow9m/image
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Time
75 hours
Via
Coursera
Institution
Coursera Project Network
Instructor
Abdallah Mohamed
Good to know
Examines video analysis and tracking techniques which are standard in industries related to computer science and data science
Taught by Abdallah Mohamed, who is recognized for their work in image processing and computer vision
Develops data analysis and computer vision skills which are core for roles in research and development
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