  Digital interaction with everyday objects has become popular since the
proliferation of camera-based systems that detect and augment objects
"just-in-time". Common systems use a vision-based approach to detect objects
and display their functionalities to the user. Sensors, such as color and depth
cameras, have become inexpensive and allow seamless environmental tracking in
mobile as well as stationary settings. However, object detection in different
contexts faces challenges as it highly depends on environmental parameters and
the conditions of the object itself. In this work, we present three tracking
algorithms which we have employed in past research projects to track and
recognize objects. We show, how mobile and stationary augmented reality can be
used to extend the functionalities of objects. We conclude, how common items
can provide user-defined tangible interaction beyond their regular
functionality.
