Abstract
In this work, different techniques of target tracking in video sequences have been studied. The aim is to decide whether the evaluated algorithms can be used to determine and analyze a special kind of trajectories. Different Feature Point Tracking Algorithms have been implemented. They solve the correspondence problem starting from a detected point set. After carrying out various experiments with synthetic and real points, we present an algorithm result assessment showing their adaptability in our problem: boar semen video sequences. © Springer-Verlag 2004.
Cite
CITATION STYLE
Robles, V., Alegre, E., & Sebastian, J. M. (2004). Tracking algorithms evaluation in feature points image sequences. Lecture Notes in Computer Science (Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 3212, 589–596. https://doi.org/10.1007/978-3-540-30126-4_72
Register to see more suggestions
Mendeley helps you to discover research relevant for your work.
