Author(s):
Tavares, João Manuel R.S. 
; Carvalho, Fernando ; Oliveira, Francisco ; Reis, Ilda ; Vasconcelos, Maria João M. ; Gonçalves, Patrícia ; Pinho, Raquel ; Ma, Zhen
Date: 2009
Persistent ID: http://hdl.handle.net/10198/4427
Origin: Biblioteca Digital do IPB
Subject(s): Image segmentation; Movement tracking and Analysis,; Matching, templates; Deformable models; Point distribution models; Level set methods; Kalman filter
Description
Computer analysis of objects’ movement in image sequences is a very complex problem, considering that it usually involves tasks for automatic detection, matching, tracking, motion analysis and deformation estimation. In spite of its complexity, this computational analysis has a wide range of
important applications; for instance, in surveillance systems, clinical analysis of human gait, objects recognition, pose estimation and deformation analysis.
Due to the extent of the purposes, several difficulties arise, such as the simultaneous tracking of manifold objects, their possible temporary occlusion or definitive disappearance from the image scene, changes of the viewpoints considered in images acquisition or of the illumination conditions, or even nonrigid deformations that objects may suffer in image sequences.
In this paper, we present an overview of several methods that may be considered to analyze objects’ movement; namely, for their segmentation, tracking and matching in images, and for estimation of the
deformation involved between images.
