Abstract
Typical image feature trackers employ a detect-describe-associate (DDA) or detect-track (DT) paradigm. Intuitively, a hybrid of the two approaches inherits the benefits of each approach and possibly their defects, however this has never been demonstrated formally in a more general setting. In this paper, the stability and speed of DDA, DT, and hybrid trackers are compared and discussed using a diverse set of real-world video sequences. © 2013 Springer-Verlag.
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CITATION STYLE
Abeles, P. (2013). Examination of hybrid image feature trackers. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 8034 LNCS, pp. 552–561). https://doi.org/10.1007/978-3-642-41939-3_54
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