Autonomous systems. Visual and other sensors. Image/video basics, formats and digitization. Video processing. Video streaming and compression. Motion estimation. Deep learning for image and video analysis.
Object tracking. Object detection. Object pose estimation. SLAM. Face/person detection. Facial expression recognition. Activity recognition.
Video description. Video indexing and retrieval.
Course attendance will be asynchronous in English, using the educational material found in CVML Web Lectures modules:
Video Processing and Analysis
Human Centered Computing
Autonomous Marine Vessels
Compulsory bibliographical and/or programming assignments are foreseen to be carried out during the course.
In order to pass the course, you will be requested to:
1) study the course lecture pdfs (in English) and fill the respective understanding questionnaires:
2) do an obligatory bibliographical project (in ppt and tex)
3) do an obligatory programming project
4) participate in the final written course exams (remotely).
Asynchronous on-line participation. Enrollment cut of date 25/02/2022.
Spring semester. Duration 13 weeks. Typical start date: second half of February each year.
Maximum number of AIDA students: 5