K
Kamil Wereszczyński
Researcher at Silesian University of Technology
Publications - 25
Citations - 89
Kamil Wereszczyński is an academic researcher from Silesian University of Technology. The author has contributed to research in topics: Cluster analysis & Support vector machine. The author has an hindex of 4, co-authored 25 publications receiving 64 citations. Previous affiliations of Kamil Wereszczyński include Polish-Japanese Academy of Information Technology.
Papers
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Journal ArticleDOI
Application of Crowd Simulations in the Evaluation of Tracking Algorithms.
Michał Staniszewski,Pawel Foszner,Karol Kostorz,Agnieszka Michalczuk,Kamil Wereszczyński,Michał Cogiel,Dominik Golba,Konrad Wojciechowski,Andrzej Polański +8 more
TL;DR: An alternative benchmarking solution is presented, which employs methods and tools obtained from the computer-game domain to create simulated video data with automatic annotations, which highly outperforms existing solutions in the size of the data and variety of annotations possible to create.
Book ChapterDOI
Registration of Ultrasound Images for Automated Assessment of Synovitis Activity
TL;DR: A preliminary result is presented that includes a description of a registration method that iteratively improves the registration quality, and its application example based on synthetic data.
Book ChapterDOI
Recent Developments in Tracking Objects in a Video Sequence
Michał Staniszewski,Michał Staniszewski,Mateusz Kloszczyk,Jakub Segen,Kamil Wereszczyński,Kamil Wereszczyński,Aldona Drabik,Marek Kulbacki +7 more
TL;DR: This paper presents a brief survey of recent developments in video tracking based methods, focused mainly on the last three years, containing methods that follow a selected object using cross correlation.
Posted Content
Cosine series quantum sampling method with applications in signal and image processing
Kamil Wereszczyński,Agnieszka Michalczuk,Damian P {e}szor,Marcin Paszkuta,Krzysztof Cyran,Andrzej Polański +5 more
TL;DR: The development of quantum algorithms, analogous to classical algorithms, are applied to the harmonic analysis of signals and quantum sampling through measurements of a quantum system is shown, and after operators of the family are applied, allow for input signal mapping with a Fourier series representation.
Book ChapterDOI
Intelligent Video Monitoring System with the Functionality of Online Recognition of People’s Behavior and Interactions Between People
Marek Kulbacki,Jakub Segen,Sławomir Wojciechowski,Kamil Wereszczyński,Jerzy Paweł Nowacki,Aldona Drabik,Konrad Wojciechowski +6 more
TL;DR: The aim of the study is to present an overview of the SAVA system enabling identification and classification in the real time of such behaviors as: walking, running, sitting down, jumping, lying, getting up, bending, squatting, waving, and kicking.