People and clothes recognition based on topic model
Ryuhei Sakurai, Joo‐Ho Lee, Kyoji Kawagoe · 2011
Clothes give us a lot of information. For example, when we see a person we know, his clothes are helpful to recognize him as well as his face. However, person recognition by clothes is still challenging problem in the area of computer vision due to the variety of a person's clothes, which makes his appearance highly variable. To handle this problem, we propose a person-specific appearance representation in this paper. In particular, we model a statistical generative process of images of people wearing their own clothes by topic model. From the images of people, our method can extract the appearance models of clothes appeared in it and estimate the composition of clothes which people wear for each image. The experimental results show that the proposed method is effective.