<?xml version="1.0" encoding="UTF-8"?><xml><records><record><source-app name="Biblio" version="7.x">Drupal-Biblio</source-app><ref-type>47</ref-type><contributors><authors><author><style face="normal" font="default" size="100%">Bernd Jähne</style></author></authors><secondary-authors><author><style face="normal" font="default" size="100%">B. Michaelis</style></author><author><style face="normal" font="default" size="100%">G. Krell</style></author></secondary-authors></contributors><titles><title><style face="normal" font="default" size="100%">Image sequence analysis in environmental and live sciences</style></title><secondary-title><style face="normal" font="default" size="100%">Proceedings of the 25th DAGM Symposium on Pattern Recognition</style></secondary-title></titles><dates><year><style  face="normal" font="default" size="100%">2003</style></year></dates><publisher><style face="normal" font="default" size="100%">Springer</style></publisher><volume><style face="normal" font="default" size="100%">2781</style></volume><pages><style face="normal" font="default" size="100%">608--617</style></pages><language><style face="normal" font="default" size="100%">eng</style></language><abstract><style face="normal" font="default" size="100%">Image sequence processing techniques are essential to study dynamical processes such as exchange, growth, and transport processes. In this survey paper, a generalized framework for the estimation of the parameters of dynamic processes including motion fields is presented. Some examples from environmental and live sciences illustrate how this framework helped to tackles some key questions that could not be solved without taking and analyzing image sequences.</style></abstract><notes><style face="normal" font="default" size="100%">invited</style></notes><custom3><style face="normal" font="default" size="100%">Lecture Notes in Computer Science</style></custom3></record></records></xml>