Person re-identification based on multi-scale constraint network

•We proposed a multi-scale network to capture feature from different scales.•We optimize the feature representation of each branch independently during training.•We implemented a new multi-scale scheme which can eliminate gradient chaos.•we concatenate different parts from each branch to obtain more meaningful decisions.