Overview Accomplishments Automatic Queen selection Side by Side Tracks

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Presentation transcript:

Overview Accomplishments Automatic Queen selection Side by Side Tracks Future work

Accomplishments Made code more general Automatically select queens Accounts for image size, number of people, template size, etc. Automatically select queens Display tracks side by side

Automatic Queen Selection Algorithm Concatenate pixels’ color values of all templates Makes (n * n * # of people) x 3 feature matrix n=length of square template side (e.g. 17*17) Feature vector = [R G B] Do kmeans clustering Find 5 templates with largest # of pixels in small clusters These people have unique colors and become the queens

Sequence 1 Queens

Sequence 2 Queens

Sequence 3 Queens

Sequence 4 Queens

Sequence 5 Queens

Sequence 6 Queens

Sequence 7 Queens

Side by side tracks Seq 1 Our Method X Correlation

Side by side tracks Seq 3 Our Method X Corelation Seq 4 Our Method X Correlation

Side by side tracks Seq 5 Our Method X Correlation

Side by side tracks Seq 7 Our Method X Correlation

Future Work Implement colored tracking Implement springs Find more complex sequences More sophisticated Queen selection New name for Queens (Queen Bees)