%0 Conference Paper %1 7219986 %A Basri, %A Indrabayu, %A Achmad, A. %B 2015 International Seminar on Intelligent Technology and Its Applications (ISITIA) %D 2015 %K Gaussian analysis;image computing;Gaussian condition;region condition;vehicle counting;intelligent detection detection;ROI;segmentation detection;gaussian detection;object engineering interest interest;heavy method;motion methods;Motorcycles;Accuracy;Gaussian methods;background mixture model model;Image model;intelligent models;object motion of optimization;region performance;object processes;image segmentation;Vehicle segmentation;intelligent subtractions;vehicle system;ITS;GMM system;motion systems;mixture tracking-based tracking;heavy tracking;traffic tracking;vehicle traffic transport transportation %P 245-250 %R 10.1109/ISITIA.2015.7219986 %T Gaussian Mixture Models optimization for counting the numbers of vehicle by adjusting the Region of Interest under heavy traffic condition

@inproceedings{7219986, added-at = {2019-12-27T10:34:56.000+0100}, author = {{Basri} and {Indrabayu} and {Achmad}, A.}, biburl = {https://www.bibsonomy.org/bibtex/24b4028e7b7b832e8a4ba85f2bf0f9006/basribaba}, booktitle = {2015 International Seminar on Intelligent Technology and Its Applications (ISITIA)}, doi = {10.1109/ISITIA.2015.7219986}, interhash = {c062e8fd3b79349b9999313273a12f3b}, intrahash = {4b4028e7b7b832e8a4ba85f2bf0f9006}, issn = {null}, keywords = {Gaussian analysis;image computing;Gaussian condition;region condition;vehicle counting;intelligent detection detection;ROI;segmentation detection;gaussian detection;object engineering interest interest;heavy method;motion methods;Motorcycles;Accuracy;Gaussian methods;background mixture model model;Image model;intelligent models;object motion of optimization;region performance;object processes;image segmentation;Vehicle segmentation;intelligent subtractions;vehicle system;ITS;GMM system;motion systems;mixture tracking-based tracking;heavy tracking;traffic tracking;vehicle traffic transport transportation}, month = may, pages = {245-250}, timestamp = {2019-12-27T10:34:56.000+0100}, title = {Gaussian Mixture Models optimization for counting the numbers of vehicle by adjusting the Region of Interest under heavy traffic condition}, year = 2015 }