Buscar
Mostrando ítems 11-20 de 2695
Video target tracking by using competitive neural networks
(2008-12-01)
A target tracking algorithm able to identify the position and to pursuit moving targets in video digital sequences is proposed in this paper. The proposed approach aims to track moving targets inside the vision field of a ...
Video target tracking by using competitive neural networks
(2008-12-01)
A target tracking algorithm able to identify the position and to pursuit moving targets in video digital sequences is proposed in this paper. The proposed approach aims to track moving targets inside the vision field of a ...
Video object segmentation using multiple features
(2004)
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 e ort to study video segmentation using multiple features, and the ...
Human action recognition in videos based on spatiotemporal features and bag-of-poses
(2020-10-01)
Currently, there is a large number of methods that use 2D poses to represent and recognize human action in videos. Most of these methods use information computed from raw 2D poses based on the straight line segments that ...
Watershed from propagated markers: An interactive method to morphological object segmentation in image sequences
(Elsevier Science BvAmsterdamHolanda, 2010)
Action Recognition in Video Using Sparse Coding and Relative Features
(2016)
This work presents an approach to category-based action recognition in video using sparse coding techniques. The proposed approach includes two main contributions: i) A new method to handle intra-class variations by ...
Spatial B-Spline Interpolation and Approximation for Error Resilience in Video Sequences-Edición Única
(Instituto Tecnológico y de Estudios Superiores de Monterrey, 2015)