Garment Detection by iterating the Grabcut using the most reliable Seed

The technology using a garment image is applied to various researches and systems. The accuracy of the garment based technology depends on a result of a garment detection method. However, almost existing methods are executed in an environment of the person standing or appearing clearly as assumption. Therefore they may not detect a garment in a challenging environment. A flexible method is required for the reason. In this research, a garment detection method is proposed to detect it in that situation. The method iterates the Grabcut using the most reliable seed. By evaluating the areas detected by Grabcut repeatedly, it decides the seed and iterates the detection. From an examination, it is confirmed that it detects the garment in the challenging environment.