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Automatically increment number bullzip pdf
Automatically increment number bullzip pdf














The video frame rate is 25 frames per second and the resolution of image frames (except for Camera_8) is 720 x 576 Pixels (columns x rows). Image frames corresponding to every combination of action/actor/camera are named with image frame numbers starting from 00000001.jpg for simplicity.

#AUTOMATICALLY INCREMENT NUMBER BULLZIP PDF DOWNLOAD#

Important: We noted that some earlier versions of that earlier versions of MS Internet Explorer could not download files over 2GB size, so we recomment to use alternative browsers such as Firefox or Chrome.Įach tar file contains 7 folders corresponding to 7 actors (Person1 to Person7) each of which contains 8 folders corresponding to 8 cameras (Camera_1 to Camera_8). On the table below, you can click on the links to download the data (JPG images) for the corresponding action Camera view names appearing in the MuHAVi data folders and the corresponding symbols used in Fig. The top view of the configuration of 8 cameras used to capture the actions in the blue action zone (which is marked with white tapes on the scene floor). MuHAVi: Multicamera Human Action Video Dataįor the evaluation of human action recognition methodsįigure 1. no label has been produced for this frame) or -2 if the person is currently out of the grid. It is normally a integer >= 0, but can be -1 if undefined (i.e. if set to 25, then there is a label once every 25 frames), and and are the first and last frames for which a label has been entered.Īfter the header, every line represents the positions of people at a given frame. Where is the total number of frames, is the number of people for which we have produced a ground truth, and are the ground plane grid dimensions, is the frame interval between two ground truth labels (i.e. The format of the ground truth file is the following: 1. You will need to use this one to get a proper bounding box alignment. Note that the ground truth for the terrace sequence has been generated with the Tsai calibration provided in the table.

automatically increment number bullzip pdf

The table below summarizes the aforementionned parameters for the ground truth files we provide. Void grid_to_tv(int pos, int grid_width, int grid_height, float tv_origin_x, float tv_origin_y, float tv_width, float tv_height, float &tv_x, float &tv_y)

  • tv_x, tv_y : the top view coordinates, i.e.
  • tv_width, tv_height : the top view dimension.
  • tv_origin_x, tv_origin_y : the top left corner of the top view.
  • grid_width, grid_height : the grid dimension.
  • pos : the person position coming from the ground truth file.
  • This function takes the following parameters: We provide below a simple C function that performs this translation. In order to be projected into the images with homographies or the Tsai calibration, these grid coordinates need to be translated into top view coordinates. The people’s position in the ground truth are expressed in discrete grid coordinates. An example is illustrated by the figure below, in which the grid has dimensions 5 x 4. Besides, we call grid our discretization of the top view area into grid_width x grid_height cells. This area is of dimensions tv_width x tv_height and has top left coordinate (tv_origin_x, tv_origin_y). We call top view the rectangular area of the ground plane in which we perform tracking. To use these ground truth files, you must rely on the same calibration with the exact same parameters that we used when generating the data. We have created a ground truth data for some of the video sequences presented above, by locating and identifying the people in some frames at a regular interval.
  • Tsai calibration for the terrace sequences.
  • Tsai calibration for the campus sequences.
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    In this case, the image coordinates obtained with the calibration should be normalized to the size of the video. Note that the image size used for calibration might differ from the size of the video sequences.

    automatically increment number bullzip pdf

    They consist of an XML file per camera view, containing the standard Tsai calibration parameters. We also make them available for download. We have also computed the camera calibration using the Tsai calibration toolkit for some of our sequences. The homographies given in the calibration files project points in the camera views to their corresponding location on the top view of the ground plane, that is This is expressed in percentage of the image height, starting from the top. When this happens, we do not provide a homography for the head plane, but instead we give the height of the line in which the head plane will project. In degenerate cases where the camera is located inside the head plane, this one will project to a horizontal line in the camera image. Therefore, the calibration files given above consist of 2 homographies per camera. POM only needs a simple calibration consisting of two homographies per camera view, which project the ground plane in top view to the ground plane in camera views and to the head plane in camera views (a plane parallel to the ground plane but located 1.75 m higher).














    Automatically increment number bullzip pdf