Survey on Colour, Texture and Shape Features for Person Re-Identification

Background: Re-identification is the pattern recognition problem which helps to identify the person in surveillance network. Feature plays an important role in person re-identification. Objective: The main objective of this paper is to analyze the properties of few existing features for person re-identification. Methods/Statistical Analysis: The features for re-identification is categorized into three groups namely colour, texture and shape. In this work various methods for extracting these features and their challenges are considered for survey and their properties, advantages disadvantages and applications are presented as a summary. Findings: From the analysis we found that colour and texture features outperform the shape feature. Application/Improvements: This analysis helps to understand the characteristics of the existing features and develop the new robust feature for improving the matching rate for person re-identification.