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Feature fusion in part-based object detection

In this study, classification of complex objects in images as a whole is compared with classification of its distinctive components using different features. In addition, the impact of feature fusion in part-basedobject detection is investigated. Applied method, implemented system, conducted tests and their results are presented in this paper.

Test results show that, even in the case of a good segmentation, objectcomponents are classified more successfully compared to whole object and feature fusion method improves the obtained results to a certain degree.