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Recognition and tracking of human walking in laser scans

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Human-Pattern-Recognition

Real time recongition of humans through laser scans

a)Convert R.O.S. bagfiles to suitable .mat files using 'bag2mat.py':

Enter desired destination with file ending in .mat

b)Train with offline_train_2.py:

Either provide command line arguments with the same order as below, or run the script without arguments and provide them when prompted *Enter timewindow (int)

*Enter frames to set wall (int)

*Enter max range scanned (float)

*Enter filename (string, no quotes)
trained data will be saved as : <input>.<trainingdata>
!!!When asked for max laser range, input the maximum range scanned 
during the recording, not the maximum range at which you want to train

c)Test on live data with hpr.py:

Publish laser scans on topic /scan, enable intensities, set min_angle, max_angle to -45,45 degrees
respectively (to be changed).

RECOMMENDATION:

Use same timewindow, and wall set time for each training set, and use the same values when
evaluating

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Recognition and tracking of human walking in laser scans

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