Performance characteristics of vision algorithms
Machine Vision and Applications - Special issue on performance evaluation
The visual analysis of human movement: a survey
Computer Vision and Image Understanding
IEEE Transactions on Pattern Analysis and Machine Intelligence
Tools and Techniques for Video Performance Evaluation
ICPR '00 Proceedings of the International Conference on Pattern Recognition - Volume 4
Is A Magnetic Sensor Capable of Evaluating A Vision-Based Face Tracking System?
CVPRW '04 Proceedings of the 2004 Conference on Computer Vision and Pattern Recognition Workshop (CVPRW'04) Volume 5 - Volume 05
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To analyze the performance of a vision-based tracking algorithm a good reference information is needed. Magnetic trackers are often used for this purpose, but the inevitable transformation of coordinate systems can result in notable alignment errors. This paper presents an approach for estimating the accuracy of various transformation models as well as individual model parameters. Performance is evaluated numerically and then tested on real data. Results show that the method can be successfully used to analyze the tracking error of free-moving objects.