A Multiple Component Matching Framework for Person Re-Identification [article]

Riccardo Satta, Giorgio Fumera, Fabio Roli, Marco Cristani and Vittorio Murino
2011 arXiv   pre-print
Person re-identification consists in recognizing an individual that has already been observed over a network of cameras. It is a novel and challenging research topic in computer vision, for which no reference framework exists yet. Despite this, previous works share similar representations of human body based on part decomposition and the implicit concept of multiple instances. Building on these similarities, we propose a Multiple Component Matching (MCM) framework for the person
more » ... n problem, which is inspired by Multiple Component Learning, a framework recently proposed for object detection. We show that previous techniques for person re-identification can be considered particular implementations of our MCM framework. We then present a novel person re-identification technique as a direct, simple implementation of our framework, focused in particular on robustness to varying lighting conditions, and show that it can attain state of the art performances.
arXiv:1105.2491v2 fatcat:pfbthrze65b47a45y7fe5urexq