The Mobi Trick project, dealing with mobile traffic applications, directly addresses
the objectives of the current FIT-IT call. The focus of the project is outdoor mobile
computer vision with all of its challenges.
Mobile systems need to be compact and energy efficient and are frequently
changing locations. Therefore they must be autonomous and perform processing
locally. A number of challenges arise from these requirements for which the project
Being compact, there is not much space for a large number of sensors such as
laser scanners, radar antennas and the like. The work in this project will focus on
stereo vision but with two different types of cameras. Often a second camera is
already available and stereo information increases detection accuracies.
Each time the system moves it needs to adapt to the changing situation. This
requires adaptive calibration and online learning.
Mobile systems often work from batteries. In addition, there is not much space to
include intricate cooling systems. Thus, the system must be designed to be very
energy efficient. New approaches for dynamic power management will be explored
in the project.
To put the work into context, several applications from the area of traffic
surveillance/toll enforcement will be implemented and tested in an application
oriented setting. However, we will make only minimal assumptions and the
technologies developed are easily applied outside the traffic domain as well.