Multiple Object Tracking System using Discriminative Correlation Filter
Journal Title: International Journal of Engineering and Science Invention - Year 2018, Vol 7, Issue 7
Abstract
Multiple Object Tracking (MOT), or Multiple Target Tracking (MTT) plays a vital role in computer vision. The objective of this paper is to identify multiple objects in various scenarios. In this paper, the objects in the video are identified and tracked using Discriminative Correlation Filter. The proposed method is tested on publicly available datasets: TUD Campus, TUD Crossing, TUDStadtmitte and PETS2009 S2-L1 datasets. The experimental results are compared with recent multiple object tracking methods. It is substantially proved that the proposed method achieves better performance when compared to other methods.
Authors and Affiliations
V. Ramalakshmi Kanthimathi, Dr. M. Germanus Alex
Keywords
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