python - Remove motion blur with real time performance on camera input -


i have drawn simple pattern of geometrical shapes on paper , placed 1 object marker. i'm able detect , analyze pattern successfully. when object moves little faster motion blur introduced can rotational or linear. way detected regions overlap e.g. strip of arrows moving in direction of arrows, detected single line after introduction of motion blur. therefore need fix somehow. can detect individual arrows , analyze them. below images of markers , without motion blur.

enter image description here

enter image description here

is there python module or open source implementation can used solve it? motion can in direction @ speed psf not known , required wiener, lucy-richardson methods. realtime tracking problem need executes fast.

p.s. i'm using python 2.7 , opencv 3

this problem can solved limiting exposure time of camera. can done using opencv using: cap.set(cv2.cap_prop_exposure,40) or using v4l2-ctl command line utility.


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