'**SUMMARY**
Returns a numpy array of the predicted coordinates of each feature.
**RETURNS**
A numpy array.
**EXAMPLE**
>>> while True:
... img1 = cam.getImage()
... ts = img1.track("camshift", ts1, img, bb)
... img = img1
>>> print ts.predictedCoordinates()'

def predictedCoordinates(self):

    return np.array([f.predict_pt for f in self])
