Object recognition by effective methods and means of computer vision
The paper deals with the design and new solutions of application software with the aim to detect and recognize objects sensed by a camera. Objects of the sensed scene were determined and recognized after previous digital processing of data delivered by the camera.
To this end the computer vision learning neural-based methods of feature extraction were used. The proposed application software may be used in various applications where the tracking of objects and understanding of a real scene is required. The results obtained will be used for teaching and research at the FEI STU in Bratislava.