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Tracking and Surveillance Projects | Shawn Lankton Online
I took a special topics course in Spring 2008 at Georgia Tech, ECE 8893: Embedded Video Surveillance Systems. The course included three projects, each shown below. Detailed information about the algorithm is in the source code comments. (All the source is in Python)

Project 1: Activity Density Estimation

Use background subtraction to find moving foreground objects in a video sequence. Then, color-code regions with the most activity. Here is the result:


Project 2: Styrofoam Airplane Tracking

Find all white styrofoam planes in the scene and track them throughout the scene. We used color thresholding and simple dynamics to do the tracking.


Project 3: Pedestrian Tracking

Count and track the pedestrians that cross on a busy sidewalk. We use a combination of motion estimation via background subtraction and feature matching using the Bhattacharyya measure.

Final Report: p3.pdf

Most of this code is very hack-y because it was done quickly. However, it was
fun to learn Python, and the class was enjoyable overall.
python  review 
yesterday by HM0880
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