CVC-05 Partially Occluded Pedestrian Dataset
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      J. Marín, D. Vázquez, A.M. López, J. Amores and L.I. Kuncheva

      Advanced Driver Assistance Systems
      (C) Computer Vision Center 2013

      http://www.cvc.uab.es/adas
      jmarin@cvc.uab.es

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      References to this pedestrian database should be made to the following article:

        J. Marín, D. Vázquez, A.M. López, J. Amores and L.I. Kuncheva, "Occlusion handling
				via random subspace classifiers for human detection", In IEEE Transactions on Systems,
				Man, and Cybernetics (Part B), 2013. 

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      Contents: 

        Dataset: This is a partially occluded pedestrian dataset. The dataset consists of 593 positive
        				 frames with annotated pedestrians (with their corresponding horizontal mirrors).
        
        Annotations format:	There is one file for each positive frame. Into each file there is one line by object.
									Each line has the following format:
									Xc Yc W H OptFlag
									
									Where (Xc, Yc) is the central position of the object bounding box, (W, H) is the 
									object width and height and OptFlag is flag that it is 1 when it is mandatory to detect
									it and 0 when it is optional.

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      Disclaimer: 

      The data is provided "as is" without express or implied warranty. The database is made freely 
      available to the scientific community under the Creative Commons Attribution-NonCommercial 4.0
      License, i.e., you are free to copy, distribute, transmit and adapt the work, and you must 
      attribute the work in the manner specified by the authors and not use this work for commercial 
      purposes. For more information: http://creativecommons.org/licenses/by-nc/4.0/