Abstract
This paper explores how passive colored markers used for blob-tracking can be advanced to improve their operation in spatial augmented reality environments. We have created an adaptive marker that captures the color of environmental light, and then changes its own appearance in order to optimize tracking performance. We have provided implementation details and proof of concept for an active marker that supports interactive operations and visual feedback. We compared the performance of both the passive and adaptive color marker in varying lighting conditions. Our results show a significant improvement in four scenarios where a passive marker is known to have poor tracking quality.