Tracking honey bee dances from sparse optical flow fields
Tim Landgraf, Raul Rojas – 2007
Tracking honey bee dances precisely is a hard task since the bees are highly flexible and the background highly distractive and cluttered. We propose methods that cluster optical flow features using a fast hough transform. A bounding box is shifted according to the movement of the underlying optical flow features. Errors made are corrected in a second step by evaluation of coherence of motion for future frames.