IEEE Transactions on Pattern Analysis and Machine Intelligence
IEEE Signal Processing Society
ICASSP '97 Proceedings of the 1997 IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP '97)-Volume 2 - Volume 2
Distinctive Image Features from Scale-Invariant Keypoints
International Journal of Computer Vision
Tracking by an Optimal Sequence of Linear Predictors
IEEE Transactions on Pattern Analysis and Machine Intelligence
Parallel Tracking and Mapping for Small AR Workspaces
ISMAR '07 Proceedings of the 2007 6th IEEE and ACM International Symposium on Mixed and Augmented Reality
Video-rate localization in multiple maps for wearable augmented reality
ISWC '08 Proceedings of the 2008 12th IEEE International Symposium on Wearable Computers
Towards automatic visual obstacle avoidance
IJCAI'77 Proceedings of the 5th international joint conference on Artificial intelligence - Volume 2
An iterative image registration technique with an application to stereo vision
IJCAI'81 Proceedings of the 7th international joint conference on Artificial intelligence - Volume 2
Faster and Better: A Machine Learning Approach to Corner Detection
IEEE Transactions on Pattern Analysis and Machine Intelligence
Forward-Backward Error: Automatic Detection of Tracking Failures
ICPR '10 Proceedings of the 2010 20th International Conference on Pattern Recognition
Stable wave detector of blobs in images
DAGM'06 Proceedings of the 28th conference on Pattern Recognition
| Hi-index | 0.00 |
A novel tracker of so called zero-shift points (ZSPs) is presented. ZSPs are points where a dot product with a single period of a sinusoidal wave, both in horizontal and vertical directions, is equal to zero. Very efficient tracking and localization of ZSPs is possible as a consequence of the existence of the field of 2D shift vectors pointing toward them. A single point is tracked on average in less than 10@ms on a standard notebook. When organized in a Multi-scale Flock (MSF), the ZSPs become a core of a robust, fast and accurate tracker. We demonstrated the applicability of the combination of MSF-ZSP with RANSAC based homography estimation on standard sequences reporting good tracking results.