Integral P-channels for fast and robust region matching
ICIP'09 Proceedings of the 16th IEEE international conference on Image processing
Robust Object Tracking with Online Multiple Instance Learning
IEEE Transactions on Pattern Analysis and Machine Intelligence
Recent advances and trends in visual tracking: A review
Neurocomputing
| Hi-index | 0.00 |
We present a user supported tracking framework that combines automatic tracking and extended user input to create error free tracking results that are suitable for interactive video production. The goal of our approach is hereby to keep the necessary user input as small as possible. In our framework, the user can select between different tracking algorithms and if he/she wants automatically fuse the results of different trackers with our robust fusion approach. The tracked object can be marked in more than one frame, which can significantly improve the tracking result. After tracking, the user can validate the results in an easy way, thanks to the support of a powerful interpolation technique. The tracking results are interactively improved until the complete track has been found. After the interactive editing process, the tracking result of each object is stored in an external file in order to create the interactive video.