SYDE 673Video Processing and Analysis
- Units
- 0.50
- Level
- Graduate
- Faculty
- Engineering
- Subject
- Systems Design Engineering
When it runs
- F24
- W25
- S25
- F25
- W26
- S26
- F26
- W27
- S27
Ran in 1 of the last 7 terms. Winter 2027: not on the schedule. Spring 2027: schedule not out yet.
This course introduces methods to acquire state (both spatial and temporal) estimations from video streams. Video streams are analyzed as dynamic systems, linear and non-linear. If the system can be approximated as linear and Gaussian in terms of the dynamic noise in the process and measurement, then Kalman filter techniques are used. This refers to sequential state estimation. For nonlinear dynamical systems, the EFK (Extended Kalman filter) can be used by a liberalization of the stat space model. Particle filters are used to address state estimation problems where the systems are non-linear and non-Gaussian. Particle Filters are rooted in Bayesian estimation and Monte Carlo procedures. The course builds upon these techniques in studying visual tracking and the components of Visual SLAM (Simultaneous Localization and Mapping) procedures.
Prerequisites
None listed.
Antirequisites
- Not completed nor concurrently enrolled in:
Leads to
No course lists it as a requisite.
Reviewed on UW Flow
100% liked it25% easy75% useful
From 1 rating and 1 comment on UW Flow. The most helpful comments, quoted as written, without names. Read them all on UW Flow.
(W25, Prof Alsharman) Useful course that teaches you about the theory of video processing, with a focus on modern techniques. The assignments and course project let you apply video processing techniques to real-world problems in the computer vision space and produce a potentially publishable conference paper. The professor is very engaging in class and really wants us to succeed. After the initial introduction to computer vision and classical optical flow methods, the course becomes far more interesting. Assessments are definitely time-consuming but also useful and Python-based which make them a fun challenge. The main issue is that the slides are a bit messy and laden with mathematical…
Jan 2025 · liked itOn UW FlowRemove this
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