Home Research Projects Current Methods and means of structural-statistical identification of hierarchical objects by characteristic points of their contours
Methods and means of structural-statistical identification of hierarchical objects by characteristic points of their contours

Principal investigator of project – PhD Diana Zahorodnia;
Co-investigator – PhD Hrystyna Lipyanina-Goncharenko.

Duration: 2019 –2020

Objectives: development of methods and tools aimed at improving the efficiency of automated video surveillance systems by reducing the amount of data processed.

Main results of the project:

• An analysis of known methods of identification and classification of objects for video surveillance systems.
• A method of combined adaptive identification of objects based on a hierarchical principle has been developed.
• A method of data classification based on cluster analysis methods has been developed.
• Algorithmic solutions of the proposed method of combined adaptive identification of objects based on the hierarchical principle are developed.
• Algorithmic solutions of the proposed method of data classification based on cluster analysis methods are developed.
• Experimental researches of the offered methods and algorithms are carried out.

Team:
- Diana Zahorodnia;
- Vitaliy Dorosh;
- Hrystyna Lipyanina-Goncharenko;
- Ivan Kit;
- Andriy Kaniovskyi;
- Denys Zolotukhin;
- Andriy Sydor;
- Dmytro Lendiuk.