Konrad W. Wojciechowski

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We have proposed and evaluated features extracted from the gait paths based on the data from a motion capture for human identification task. We have used the following paths: skeleton root element, feet, hands and head. We have collected motion gait database containing 353 different motions of 25 actors. We have proposed four approaches to extract features(More)
In this paper a new approach to the problem of impulsive noise reduction in color images is presented. The basic idea behind the new image 6ltering technique is the maximization of the similarities between pixels in a prede6ned 6ltering window. The improvement introduced to this technique lies in the adaptive establishing of parameters of the similarity(More)
Perovskite solar cells have rapidly risen to the forefront of emerging photovoltaic technologies, exhibiting rapidly rising efficiencies. This is likely to continue to rise, but in the development of these solar cells there are unusual characteristics that have arisen, specifically an anomalous hysteresis in the current-voltage curves. We identify this(More)
This paper proposes the use of a particle filter with embedded particle swarm optimization as an efficient and effective way of dealing with 3d model-based human body tracking. A particle swarm optimization algorithm is utilized in the particle filter to shift the particles toward more promising configurations of the human model. The algorithm is shown to(More)
K. N. Plataniotis A. N. Venetsanopoulos Edward S. Rogers Sr. Department of Electrical and Computer Engineering University of Toronto 10 King’s College Road Toronto, Ontario M5S 3G4, Canada E-mail: kostas@dsp.toronto.edu Abstract. A new approach to the problem of impulsive-noise reduction for color images is introduced. The major advantage of the technique(More)