About the Course
Video analysis is the capability of automatically analysing video to detect and determine temporal and spatial events. In this workshop, participants will be led through a series of technique in object tracking, segmentation, action recognition, pose estimation, and their applications
We recommend participants to complete Deep Learning with Python before signing up for this course.
Laptops will be provided for the duration of the course.
Learning Objectives
By the end of the course, participants will be able to:
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Detect and track object in video
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Pose estimation of a person or object in video
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Perform action recognition in video
Who should attend?
Participants who wish to further explore the world of Computer Vision.
Entry Requirement
Intermediate understanding of Deep Learning, Neural Network, and Computer Vision.
Certification
Participants will be awarded a certificate of completion upon meeting the 75% course attendance requirement.
For courses with assessment component, participants will be awarded the certification of completion upon passing the assessment. Otherwise, a certification of attendance will be issued instead upon meeting the 75% course attendance requirement.
Please click on the "Register" button to view the updated course schedule and fees on the Skills Training & Enhancement Portal (STEP).
Please click on the "Register" button to view the updated course schedule and fees on the Skills Training & Enhancement Portal (STEP).