TY - CHAP
T1 - Video object segmentation using multiple features
AU - Pardo, Alvaro
PY - 2004
Y1 - 2004
N2 - In this paper we present an algorithm for semi-automatic object extraction from video sequences using multiple features. This work is part of an ongoing effort to study video segmentation using multiple features, and the relative contribution of each one of them. For this reason, the algorithm here presented will be very simple and made up from of the shelf algorithms. We will show that even with a simple algorithm, with the right steps, we can successfully segment video objects in moderate complex sequences.
AB - In this paper we present an algorithm for semi-automatic object extraction from video sequences using multiple features. This work is part of an ongoing effort to study video segmentation using multiple features, and the relative contribution of each one of them. For this reason, the algorithm here presented will be very simple and made up from of the shelf algorithms. We will show that even with a simple algorithm, with the right steps, we can successfully segment video objects in moderate complex sequences.
UR - https://www.scopus.com/pages/publications/35048904046
U2 - 10.1007/978-3-540-30463-0_75
DO - 10.1007/978-3-540-30463-0_75
M3 - Capítulo
AN - SCOPUS:35048904046
SN - 3540235272
T3 - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
SP - 597
EP - 604
BT - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
A2 - Sanfeliu, Alberto
A2 - Martinez-Trinidad, Jose Francisco
A2 - Carrasco-Ochoa, Jesus Ariel
PB - Springer Verlag
ER -