Joint Dictionary Learning for Person Re-identification
Yunlu Xu, Jie Guo, Zheng Huang · 2017
Person re-identification is known as matching an individual captured in one or more cameras using a gallery of provided candidates from a different camera view. It is a hard task owing to variations in illumination, viewpoints, poses and small number of annotated training individuals. For obtaining the proper distance metrics, we propose a novel approach based on dictionary learning. Our method decomposes the dictionary into a view-invariant dictionary and a view-specific one in order to overcome the limited performance resulting from the balance between the discrimination and cross-view invariant ability. We present this multi-task joint dictionary learning method and show the competitive performance by comparing our results with state-of-the-art methods on two publicly available datasets.