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--- ece4580:module_tracking [2017/01/22 21:59] – pvela
+++ ece4580:module_tracking [2024/08/20 21:38] (current) – external edit 127.0.0.1
@@ Line 1: / Line 1: @@
+====== 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
+------------------------
+===== 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).
+------------------------
+===== 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
+------------------------
+===== 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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