National Repository of Grey Literature 3 records found  Search took 0.00 seconds. 
Automatic recognition of human hand gestures
Olejár, Adam ; Křupka, Aleš (referee) ; Číka, Petr (advisor)
This bachelor thesis is aimed at realization application detecting hand in the video from a webcam. The first section describes the pre-processing options and object detectors based on different methods. Second part of the project talks about cross-platform Java language and useful libraries for project realization. The third section is a summary realization of the assignment.
Studium dynamiky živých lidských buněk v odezvě na běžné kontaminanty vod s cílem vývoje citlivého specifického analytického postupu
KOŠEK, Jan
The bachelor thesis is devoted to testing the toxicity of chemical substances. In the current chemical and pharmaceutical industry, thousands of new substances are produced annually, which brings about the need to ensure sufficient consumer safety and environmental protection. In vitro testing is becoming an increasingly important research tool in this issue. This work verifies the theoretical foundations and proposes an algorithm developed by Lonhus et al. from the Laboratory of experimental complex systems in Nové Hrady and its possible future applications in in vitro testing. This new approach uses the principles of microrheology and tracks Speed-Up Robust Features (SURF) in a digital image and converts them into vectors of trajectories of intracellular mass particles. Microrheology is a relatively new field of research in life sciences and deals with the study of flow and deformation of materials at the microscopic level. The algorithm separates two main components of the movements inside the cells: direct movement of organelles as larger particles and random Brownian motion. The advantage of this method is its potential of easy use and sensitivity. The method makes it possible to obtain important primary information about the effect of chemical substances on cell cultures.
Automatic recognition of human hand gestures
Olejár, Adam ; Křupka, Aleš (referee) ; Číka, Petr (advisor)
This bachelor thesis is aimed at realization application detecting hand in the video from a webcam. The first section describes the pre-processing options and object detectors based on different methods. Second part of the project talks about cross-platform Java language and useful libraries for project realization. The third section is a summary realization of the assignment.

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