Real-Time Image Tracking with An Adaptive Complementary Filter

摘要

Image tracking is a key technique in many applications. Various algorithms have been proposed to conduct image tracking in different environments. However, many of them does not achieve good performances in terms of drastic motion changes of the image. To enhance the tracking ability in such circumstances, we present a novel algorithm using the complementary filter. An adaptive law is designed in this case to make the filter much more accurate when facing limiting conditions. Experiments are carried out showing the performances of the proposed method and other representative methods. Comparison results reflect that the proposed filter is more efficient than representative ones.