<?xml version="1.0" encoding="UTF-8"?><xml><records><record><source-app name="Biblio" version="7.x">Drupal-Biblio</source-app><ref-type>17</ref-type><contributors><authors><author><style face="normal" font="default" size="100%">Emanuil Djerassi</style></author><author><style face="normal" font="default" size="100%">Pavlina Konstantinova</style></author></authors></contributors><titles><title><style face="normal" font="default" size="100%">Object-Oriented Environment for Assessing Tracking Algorithms</style></title><secondary-title><style face="normal" font="default" size="100%">Information &amp; Security: An International Journal</style></secondary-title></titles><keywords><keyword><style  face="normal" font="default" size="100%">Monte-Carlo analysis</style></keyword><keyword><style  face="normal" font="default" size="100%">Object-oriented programming</style></keyword><keyword><style  face="normal" font="default" size="100%">sensor data processing</style></keyword><keyword><style  face="normal" font="default" size="100%">tracking algorithms</style></keyword></keywords><dates><year><style  face="normal" font="default" size="100%">2002</style></year><pub-dates><date><style  face="normal" font="default" size="100%">2002</style></date></pub-dates></dates><volume><style face="normal" font="default" size="100%">9</style></volume><pages><style face="normal" font="default" size="100%">93-106</style></pages><language><style face="normal" font="default" size="100%">eng</style></language><abstract><style face="normal" font="default" size="100%">Designing, implementing, and assessing tracking algorithms is an essential and complex problem in numerous defense and security related applications. One way to alleviate this problem is to provide the designer with an environment, facilitating the creation of various test scenarios, to propose aids for implementing algorithms, and to evaluate their measures of performance. Such an environment is a complex software program, which could be simplified by using object-oriented design and programming. By unifying data and functions that operate on the data, the overall program organization can be improved considerably. In this article the authors propose a set of classes that can be divided into three groups, considering respectively the modeling part, the processing part and the organization of the statistical analysis for measuring performance.</style></abstract></record><record><source-app name="Biblio" version="7.x">Drupal-Biblio</source-app><ref-type>17</ref-type><contributors><authors><author><style face="normal" font="default" size="100%">Emil Semerdjiev</style></author><author><style face="normal" font="default" size="100%">Kiril Alexiev</style></author><author><style face="normal" font="default" size="100%">Emanuil Djerassi</style></author><author><style face="normal" font="default" size="100%">Pavlina Konstantinova</style></author></authors></contributors><titles><title><style face="normal" font="default" size="100%">Multiple Hypothesis Tracking Using Hough Transform Track Detector</style></title><secondary-title><style face="normal" font="default" size="100%">Information &amp; Security: An International Journal</style></secondary-title></titles><keywords><keyword><style  face="normal" font="default" size="100%">Hough Transform</style></keyword><keyword><style  face="normal" font="default" size="100%">Multiple Hypothesis Tracking</style></keyword></keywords><dates><year><style  face="normal" font="default" size="100%">1999</style></year><pub-dates><date><style  face="normal" font="default" size="100%">1999</style></date></pub-dates></dates><volume><style face="normal" font="default" size="100%">2</style></volume><pages><style face="normal" font="default" size="100%">113-121</style></pages><language><style face="normal" font="default" size="100%">eng</style></language><abstract><style face="normal" font="default" size="100%">A modification of the standard Multiple Hypothesis Tracking (MHT) measurement oriented algorithm version is proposed and evaluated in the paper. A Hough Transform track detector is implemented in MHT to filter false alarms. The measurements belonging to already detected tracks are arranged in MHT tracks by another standard MHT algorithm used asynchronously. At the cost of delayed track detection this MHT2-HT algorithm shows remarkable good performance and noise resistance.</style></abstract></record><record><source-app name="Biblio" version="7.x">Drupal-Biblio</source-app><ref-type>10</ref-type><contributors><authors><author><style face="normal" font="default" size="100%">Konstentinova, P.D.</style></author><author><style face="normal" font="default" size="100%">Emanuil Djerassi</style></author><author><style face="normal" font="default" size="100%">Violeta Bogdanova</style></author></authors></contributors><titles><title><style face="normal" font="default" size="100%">Parallelism in Multiple hypothesis Tracking Algorithm and Adaptation to Transputer Based Multiprocessor</style></title><secondary-title><style face="normal" font="default" size="100%">11th Intern. Conf. &quot;Systems for Automation of Egineering and Research</style></secondary-title></titles><dates><year><style  face="normal" font="default" size="100%">1997</style></year></dates><pub-location><style face="normal" font="default" size="100%">St. Konstantin, Bulgaria</style></pub-location><pages><style face="normal" font="default" size="100%">81-85</style></pages><language><style face="normal" font="default" size="100%">eng</style></language></record><record><source-app name="Biblio" version="7.x">Drupal-Biblio</source-app><ref-type>17</ref-type><contributors><authors><author><style face="normal" font="default" size="100%">Emil Semerdjiev</style></author><author><style face="normal" font="default" size="100%">Emanuil Djerassi</style></author><author><style face="normal" font="default" size="100%">Violeta Bogdanova</style></author><author><style face="normal" font="default" size="100%">Kiril Alexiev</style></author></authors></contributors><titles><title><style face="normal" font="default" size="100%">Performance Evaluation of a Multiple Hypothesis Tracking Algorithm Using Hough Transform</style></title><secondary-title><style face="normal" font="default" size="100%">Compte rendus de l'Academie Bulgare des Sciences </style></secondary-title></titles><dates><year><style  face="normal" font="default" size="100%">1996</style></year></dates><volume><style face="normal" font="default" size="100%">49</style></volume><pages><style face="normal" font="default" size="100%">51-54</style></pages><language><style face="normal" font="default" size="100%">eng</style></language><issue><style face="normal" font="default" size="100%">4</style></issue></record></records></xml>