IJMTES – A NOVEL METHOD TO COUNT THE NUMBER OF CARS IN AN UNMANNED AERIAL VEHICLE IMAGES

Journal Title : International Journal of Modern Trends in Engineering and Science

Author’s Name : A Mathavaraja | R Sathyamoorthy  unnamed

Volume 03 Issue 07 2016

ISSN no:  2348-3121

Page no: 95-99

Abstract – In this paper, a novel method is proposed to detect the number of cars in an UAV images. The primary step for car counting starts with screening, which separates the interested area in the images. The primary step followed by key points extraction by using an SIFT algorithm, which are highly distinctive. In addition to that, for suppressing the background in images, Foreground detection method is proposed, which will exhibits a promising car counting accuracy. Finally key points can be grouped by using an merging algorithm. The promising results indicate the effectiveness of our proposed framework, with higher accuracy.   

Keywords— Unmanned Aerial Vehicle (UAV), Support Vector Machine(SVM), Scale Invariant Feature Transform (SIFT) , Car Keypoint Merging 

Reference

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