Action recognition in video and still image is one of the most challenging research topics in pattern recognition and computer vision. This paper proposes a new method for video action classification based on 3D Zernike moments. These last ones aim to capturing both structural and temporal information of a time varying sequence. The originality of this approach consists to represent actions in ...

Zernike phase contrast x-ray microscope has been developed at the undulator beamline 20XU and 47XU of SPring-8. The system consists of a pseudo-Köhler-illuminating system, a Fresnel zone plate objective with outermost zone width of 100 nm, a Zernike phase plate (0.96-m-thick tantalum, /4 or 3/4 phase-shifter at 8 keV) installed at the back-focal plane of the objective, and a visible-light co...

In this paper, we design an attractivealgorithm aiming to classify moving targets includinghuman, animal, vehicle and drone, at groundsurveillance radar systems. The non-stationary reflectedsignal of the targets is represented with a novelmathematical framework based on behavior of thesignal components in reality. We further propose usingthe generalized linear chirp transform for the analysisst...

Three dimensional surface matching is an important problem in computer vision. The process of surface matching is to match similar regions or correspondences across multiple surfaces with unknown relative poses. Many surface descriptors for finding correspondences have been proposed. However, most of these approaches have been used in triangle mesh surfaces. In this paper, a local surface descr...

This paper introduces a new set of orthogonal moment functions based on the discrete Tchebichef polynomials. The Tchebichef moments can be effectively used as pattern features in the analysis of two-dimensional images. The implementation of moments proposed in this paper does not involve any numerical approximation, since the basis set is orthogonal in the discrete domain of the image coordinat...

Most methodologies not only differ in the kind of techniques used to pinpoint the location of landmarks but in many other ways like: the size of training and test dataset, quality and variations covered in the dataset based on age, race, gender, etc., different studies use distinctive landmarks and different methodologies to report the results. In this Chapter, we propose a combination of local...