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Video Object-Tracking Using Particle Filtering and Feature Fusion

  • Jyotiranjan PandaEmail author
  • Pradipta Kumar Nanda
Conference paper
  • 7 Downloads
Part of the Lecture Notes in Electrical Engineering book series (LNEE, volume 665)

Abstract

In this paper, a novel video tracking scheme is proposed using the notion of particle filtering. For each pixel of the frame, two features namely Local Binary Pattern (LBP) and the RGB are fused to generate a new feature. Fusion is carried out in the probabilistic framework and the fusion coefficients are determined based on trial and error. Particle filter based modeling is used to track the object in the feature plane. The proposed scheme has been tested on different frames of different benchmarked data sets and the performance of the proposed scheme is found to be superior than the existing method.

Keywords

Particle filtering Color distribution LBP Bhattacharyya coefficient Fusion 

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Copyright information

© Springer Nature Singapore Pte Ltd. 2020

Authors and Affiliations

  1. 1.Image and Video Analysis Lab, Department of ECESiksha ‘O’Anusandhan (Deemed to be University)OdishaIndia

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