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)
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)
We propose the method of human identification based on the reduced kinematic data of the gait. In the first stage the pose descriptions of the given skeleton model are reduced by the linear principal component analysis. We obtain the ndimensional motion trajectories of principal components. Afterwards, we use two approaches: feature extraction and dynamic(More)