Politechnika Poznanska

Adam Luczak

Marek Domanski

Tomasz Grajek

Slawomir Mackowiak

Krzysztof Wegner

Krzysztof Klimaszewski

Jakub Siast

Robert Ratajczak

A method for video object tracking using stereoscopic images with depth maps. The method comprises calculating a first axis histogram for each depth map and applying: a first object detection method to track objects based on at least one of: the contents of the images and the depth maps; and a second object detection method to track objects based on the contents of the histograms of the depth maps. The locations of tracked objects are determined based on comparison of the results of the first object detection method and the second object detection method.

System and a method for tracking objects

A method for estimation of dimensions of an object present on images obtained from a set of N cameras and representing the same scene from different viewpoints, based on a 3D object model. The method comprises determining () a 3DMM model. It further comprises matching () the 3DMM model to each of N images of the set in order to determine a set of parameters h, &#x3c1;, &#x3bb;, wherein hdescribes the orientation of the matched model with respect to the i-th image; &#x3c1;describes the 3D shape of the model matched to the i-th image and &#x3bb;describes the appearance/texture of the model matched to the i-th image. The method comprises calculating () relative positions of the cameras, from which the images were collected, based on 3D transformations Hof the matched 3DMM model from the i-th image to the matched 3DMM model from the j-th image; and calculating () the total matching error Efor the model as a sum of matching errors of a model described by parameters h, &#x3c1;, &#x3bb;to individual images:  The method further comprises estimating () the dimensions of the object based on locations of characteristic points from vector s, calculated as: whereinis the vector of the average 3DMM model shape, &#x3c1;are elements of vector &#x3c1;, and &#x15d;are eigenvalue vectors of the 3DMM model.

System and method for object dimension estimation using 3D models

A computer-implemented method for processing a distorted wide angle image with barrel distortion to obtain a plurality of reconstructed images, characterized in that it comprises the steps of: determining, on the basis of a mapping function representing the distortion of the distorted image, a reconstruction function representing the position of points (r) of reconstructed image as a function of position of points (r) on the distorted image, determining a plurality of viewing angles (&#x3b1;, &#x3b1;, &#x3b1;), for each viewing angle (&#x3b1;, &#x3b1;, &#x3b1;), generating a reconstructed image comprising points of the distorted image comprised within the particular viewing angle (&#x3b1;, &#x3b1;, &#x3b1;) and reconstructed using the reconstruction function, such that each reconstructed image has its central point corresponding to the same point of the distorted image.

Method for processing wide angle images with barrel distortion and a surveillance system

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Poznan, Poland

Adam Luczak