Vehicle re-identification with multiple discriminative features based on non-local-attention block.

Vehicle re-identification (re-id) technology refers to a vehicle matching under a non-overlapping domain, that is, to confirm whether the vehicle target taken by cameras in different positions at different times is the same vehicle. Different identities of the same type of vehicles are one of the most challenging factors in the field of vehicle re-identification. The key to solve this difficulty is to make full use of the multiple discriminative features of vehicles.

A vehicle re-identification framework based on the improved multi-branch feature fusion network.

Vehicle re-identification (re-id) aims to solve the problems of matching and identifying the same vehicle under the scenes across multiple surveillance cameras. For public security and intelligent transportation system (ITS), it is extremely important to locate the target vehicle quickly and accurately in the massive vehicle database. However, re-id of the target vehicle is very challenging due to many factors, such as the orientation variations, illumination changes, occlusion, low resolution, rapid vehicle movement, and amounts of similar vehicle models.