====== Tracking ======

** THIS MODULE IS NOT AVAILABLE SINCE IT IS INCOMPLETE. **


Particle filter, Kalman Filter and face tracking

===== Module #1 =====
Particle filter

  - Study [[http://studentdavestutorials.weebly.com/particle-filter-with-matlab-code.html|particle filter tutorial]]
  - Watch tutorial video part 1
  - Watch tutorial video part 2
  - Study Matlab implementation 

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===== Module #2 =====
Kalman filter

  - Study [[http://studentdavestutorials.weebly.com/kalman-filter-with-matlab-code.html|Kalman filter tutorial]]
  - Watch tutorial video part 1, 2 and 3.
  - Study Matlab implementation. 
  - Write a Matlab script to study the performance compared with Particle filter (the same trajectory with different tracking trajectories).

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===== Module #3 =====
Kalman filter in 2D

  - Study [[http://studentdavestutorials.weebly.com/object-tracking-2d-kalman-filter.html|Object tracking in 2D tutorial]]
  - Study Matlab implementation


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===== Module #4 =====
Face tracking

  - Now you familiar with Kalman filter for tracking.
  - Try to track human face in the video!
  - You can use [[https://www.dropbox.com/s/lbam3wdfd33a0tg/pres_debate.avi?dl=0|this short video]], with the object bounding box as [320.8751  175.1776  103.5404  129.0504](top left width height) at the first frame. Track the center of the box and see how it works.
  - You can also use built-in Matlab function to detect face every k frame. See how it helps and comment on what you observe.


/*
Matlab.
http://dlib.net/correlation_tracker.py.html
*/

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[[ECE4580:Modules|ECE4580 Learning Modules]]
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