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Object Detection and Tracking


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Course Level


Total Hour


Video Tutorials


Course content


Week 1-2: Introduction to Object Detection and Tracking

Definition and applications of object detection and tracking
Overview of popular object detection and tracking methods and datasets
Basic principles of computer vision for object detection and tracking

Week 3-4: Image Processing and Feature Extraction

Week 5-6: Object Detection with Machine Learning

Week 7-8: Object Tracking

Week 9-10: Multiple Object Tracking

Week 11-12: Advanced Topics and Project Work

About Course

Object detection involves identifying the presence and location of one or more objects within an image or video. This is typically done using a pre-trained object detection model, which has been trained on a large dataset of labeled images to recognize various objects. The model outputs bounding boxes around each detected object, indicating its position within the image.

Object tracking, on the other hand, involves following the movement of one or more objects over time within a video stream. This can be done using a variety of algorithms, which typically involve analyzing the movement and appearance of objects in consecutive video frames and matching them to previously detected objects.

Object detection and tracking are important for a wide range of applications, including surveillance, self-driving cars, robotics, and augmented reality. They can also be used to improve the accuracy and efficiency of other computer vision tasks, such as image classification and semantic segmentation.

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What Will You Learn?

  • Tracking
  • Motion Detection
  • Object Detection
  • Optical Flow
  • Computer Vision

Material Includes

  • Live Classes
  • 100% Online Course
  • Hands-on Project
  • Shareable Certificate


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Material Includes

  • Live Classes
  • 100% Online Course
  • Hands-on Project
  • Shareable Certificate

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