Object recognition by effective methods and means of computer vision

Author

Dorner, J. ; Kozak, S. ; Dietze, F.

Author_Institution

Fac. of Electr. Eng. & Inf. Technol., Slovak Univ. of Technol. in Bratislava, Bratislava, Slovakia

fYear

2015

fDate

9-12 June 2015

Firstpage

198

Lastpage

202

Abstract

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.

Keywords

cameras; feature extraction; learning (artificial intelligence); mobile robots; neural nets; object detection; object recognition; object tracking; robot vision; camera; computer vision learning; feature extraction; mobile robot; neural-based method; object detection; object recognition; object tracking; Cameras; Computer vision; Databases; Feature extraction; Image segmentation; Object recognition; computer vision; control; feature detection; neural networks; object recognition;

fLanguage

English

Publisher

ieee

Conference_Titel

Process Control (PC), 2015 20th International Conference on

Conference_Location

Strbske Pleso

Type

conf

DOI

10.1109/PC.2015.7169962

Filename

7169962