This paper presents an object tracking system. Our goal is to create a real-time object tracker that can handle occlusions, track multiple objects that are rigid or deformable, and on indoor or outdoor sequences. This system is composed of two main modules: motion detection and object tracking. Motion detection is achieved using an improved Gaussian mixture model. Based on multiple hypothesis o...

w       ater born poly(styrene-butyl acrylate)/clay nanocomposite latexes were synthesized by a novel initiating system of activators generated by   electron transfer (aget) in a system of atom transfer radical polymerization   (atrp). initially, the clay was swelled in a mixture of styrene, butyl acrylate,   and hexadecane. the mixture was then sonicated to obtain a stable miniemulsion. to   s...

due to the different factors and complexity of their effects on healthy and sustainability of urban forest, this study has been tried by means of determining effective factors in ecosystem, and dividing sorkhe hesar man made forest park to homogeneous units according to natural factors (slope, aspect, high, soil depth, mixture and pure planting system) and human factors (amount of irrigation an...

Based on data-driven and mixed models, this study proposes a fault detection method for autonomous underwater vehicle (AUV) rudder systems. The proposed can effectively detect faults in the absence of angle feedback from rudder. Considering parameter uncertainty AUV motion model resulting dynamics analysis method, we present identification based recurrent neural network (RNN). Prior to identifi...

An integrated system for the acquisition, normalisation and recognition of moving faces in dynamic scenes is introduced. Four face recognition tasks are deened and it is argued that modelling person-speciic probability densities in a generic face space using mixture models provides a technique applicable to all four tasks. The use of Gaussian colour mixtures for face detection and tracking is a...

Support of the contract Projet d’Actions de Recherche Concertées ARC 93/98-164, of the Belgium Government, is gratefully aknowledged. Support of the project Modèles d’équations structurales et modélisation de covariances FDS 96/98, Université catholique de Louvain, is gratefully aknowledged.