Abstract
We propose an object recognition method that is based on the Multiple Instance Learning (MIL). The recognition method is able to recognize an object from the uncertain instruction of a human. Until now, many previous object recognition methods have needed many images with simple background in the training phase. However, this recognition method will be able to detect a target object from images with complex background. Through object recognition experiments, the effectiveness of the proposed object recognition method is confirmed.
