[PDF][PDF] Blob modification in counting vehicles using gaussian mixture models under heavy traffic
Asian Res. Publ. Netw. ARPN, 2015•academia.edu
ABSTRACT This study uses Blob Analysis technique to optimize Gaussian Mixture Model
method performance in detecting and counting cars and motorcycles under heavy traffic
conditions. It is profound that by optimizing the minimum and maximum blob area in order to
obtain proper blob size from a video image's region of interest will also improve the accuracy
of system. The result shows that appropriate parameter settings can increase accuracy by
28.02% for motorcycles and 10.84% for cars.
method performance in detecting and counting cars and motorcycles under heavy traffic
conditions. It is profound that by optimizing the minimum and maximum blob area in order to
obtain proper blob size from a video image's region of interest will also improve the accuracy
of system. The result shows that appropriate parameter settings can increase accuracy by
28.02% for motorcycles and 10.84% for cars.
Abstract
This study uses Blob Analysis technique to optimize Gaussian Mixture Model method performance in detecting and counting cars and motorcycles under heavy traffic conditions. It is profound that by optimizing the minimum and maximum blob area in order to obtain proper blob size from a video image’s region of interest will also improve the accuracy of system. The result shows that appropriate parameter settings can increase accuracy by 28.02% for motorcycles and 10.84% for cars.
academia.edu
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