Efficient Migration of Complex Off-Line Computer Vision Software to Real-Time System

This paper presents a collection of techniques, and lessons learned in the context of efficient migration of a large and complex computer vision code base developed off-line into an equivalent real-time implementation under a standard open-source operating system (Linux). Using creative linking strategies, it is possible to create a robust environment based on loadable kernel modules that enables simultaneous realization of real-time and off-line frame rate computer vision systems from a single code base