Person Re-identification Combined with Clothing Information Transfer

Abstract

Person re-identification (Re-ID) is an identification method based on the overall characteristics of human body, which is usually used to judge whether there is a specific person in the image or video sequence. The clothing characteristics of persons have very important impact on Re-ID methods. But in some special scenarios, for example, a criminal maybe change his clothes in order to escape tracking, then his clothes will be different in the query image from those in the gallery image, which will cause the existing Re-ID algorithms difficult to match the target person in the gallery image. In order to solve this problem, a Re-ID model based on clothing information transfer is proposed in this paper. Given a query image of a target person, all the persons are re-dressed in the gallery image with the clothing feature in the query image, therefore the difference of clothing feature in person matching process can be eliminated. Finally, the model is verified on the dataset PRDDC (person Re-ID with different clothes), and experimental results show the significant improvement of the proposed algorithm compared with the algorithms without clothing feature transfer module.

Keywords

• person re-identification (re-id)
• feature transfer
• image matching