A survey of approaches and trends in person re-identification

• We present the problem of person re-identification (Re-ID) and associated challenges.
• A methodology based taxonomy and survey of current approaches is presented.
• We identify open and closed set re-identification scenarios.
• Public datasets and current evaluation techniques for Re-ID are discussed.
• Unaddressed issues like open set Re-ID and long period Re-ID are also discussed.

Person re-identification is a fundamental task in automated video surveillance and has been an area of intense research in the past few years. Given an image/video of a person taken from one camera, re-identification is the process of identifying the person from images/videos taken from a different camera. Re-identification is indispensable in establishing consistent labeling across multiple cameras or even within the same camera to re-establish disconnected or lost tracks. Apart from surveillance it has applications in robotics, multimedia and forensics. Person re-identification is a difficult problem because of the visual ambiguity and spatiotemporal uncertainty in a person's appearance across different cameras. These difficulties are often compounded by low resolution images or poor quality video feeds with large amounts of unrelated information in them that does not aid re-identification. The spatial or temporal conditions to constrain the problem are hard to capture. However, the problem has received significant attention from the computer vision research community due to its wide applicability and utility. In this paper, we explore the problem of person re-identification and discuss the current solutions. Open issues and challenges of the problem are highlighted with a discussion on potential directions for further research.

Figure illustrates the role of person re-identification in a typical surveillance scenario. An area monitored by multiple cameras is depicted by top view of a building floor plan and the relative placement of the cameras' with respect to the building. Colored dots depict different people and numbers besides the dots are the IDs assigned to the people. As a person moves from one camera's FOV into another camera's FOV, re-identification is required to establish correspondence between disconnected tracks to accomplish multiple camera tracking. This paper explores the problem of person re-identification and discusses the current solutions. Open issues and challenges of the problem are highlighted with a discussion on potential directions for further research.Figure optionsDownload high-quality image (259 K)Download as PowerPoint slide