Publications
2004
1.
Robles, Vanessa; Alegre, Enrique; Sebastian, Jose M
Tracking algorithms evaluation in feature points image sequences Artículo de revista
En: Image Analysis and Recognition: International Conference, ICIAR 2004, Porto, Portugal, September 29-October 1, 2004, Proceedings, Part II 1, pp. 589–596, 2004, (Publisher: Springer Berlin Heidelberg).
Resumen | Enlaces | BibTeX | Etiquetas: boar semen, Feature Point Tracking, Target Tracking, Trajectory Analysis, Video Processing
@article{robles_tracking_2004,
title = {Tracking algorithms evaluation in feature points image sequences},
author = {Vanessa Robles and Enrique Alegre and Jose M Sebastian},
url = {https://link.springer.com/chapter/10.1007/978-3-540-30126-4_72},
year = {2004},
date = {2004-01-01},
journal = {Image Analysis and Recognition: International Conference, ICIAR 2004, Porto, Portugal, September 29-October 1, 2004, Proceedings, Part II 1},
pages = {589–596},
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.},
note = {Publisher: Springer Berlin Heidelberg},
keywords = {boar semen, Feature Point Tracking, Target Tracking, Trajectory Analysis, Video Processing},
pubstate = {published},
tppubtype = {article}
}
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.