Person re-identification device and method

A person re-identification device for re-identifying a person included in an image, the device performing learning by receiving a plurality of learning images labeled with an identifier of a person included, and comprising:

• a feature extracting and dividing unit, that receives a plurality of images including a person to be re-identified, extracts a feature of each image according to a pre-learned pattern estimation method to acquire a 3-dimensional feature vector, and divides the 3-dimensional feature vector into a pre-designated size unit to acquire a plurality of local feature vectors;
• a one-to-many relational reasoning unit, that estimates a relationship between each of the plurality of local feature vectors and remaining local feature vectors according to a pre-learned pattern estimation method, and reflects the estimated relationship to each of the plurality of local feature vectors to acquire a plurality of local relational features;
• a global contrastive pooling unit, that acquires a global contrastive feature by performing global contrastive pooling in which a relationship between a maximum feature and an average feature of the plurality of local feature vectors is reflected back to the maximum feature according to a pre-learned pattern estimation method;
• and
• a person re-identification unit, that receives the plurality of local relational features and the global contrastive feature as a final descriptor of a corresponding image, and compares the final descriptor with a reference descriptor that is a final descriptor acquired in advance from an image including a person to be searched, thereby determining whether a person to be searched is included.