Appearance-based re-identification of people in video

Abstract

Re-identification of people in video is of prime importance in many applications. The premise of this task is that given a person if the video how can we re-identify the same person based on appearance. This research investigates colour histograms with ability to integrate spatial distribution of the colour. To describe a person based on the colour of attire. Colour Context People Descriptor has been proposed. Three data sets have been used to test and compare different colour histogram methods. Four colour spaces: RGB, HSV, via and XYZ have been used in colour modelling. The re-identification task has been set up as a Content Based Image Retrieval problem. Roe curves for each person in the dataset using different parameters have been obtained. All of these results have been compared within each data set and across all data sets. It has been shown that methods incorporating spatial distribution of colours perform better than colour histograms. Furthermore. Colour Context People Descriptor provided the best ROC curves across all methods and data sets.