Thursday, 16 May 2019

A multi-scale body-part mask guided attention network for person re-identification

Person re-identification entails the automated identification of the same person in multiple images from different cameras and with different backgrounds, angles or positions. Despite recent advances in the field of artificial intelligence (AI), person re-identification remains a highly challenging task, particularly due to the many variations in a person's pose, as well as other differences associated with lighting, occlusion, misalignment and background clutter.

* This article was originally published here