A framework for image analysis and object recognition in industrial applications with the ensemble of classifiers

The paper presents a work-in-progress on a classification system for object detection in vision based industrial applications. The main idea of the presented system is application of the ensemble of one-class classifiers trained with specific features of objects of the whole scene. During recognition stage the ensemble tries to recognize the trained patterns. The system is well suited for parallel processing and therefore it can operate in real-time conditions. Preliminary experiments in automotive applications show promising results.