Fast Adaptive Spatial Reduction for Discriminative Correlation Filter Tracking

6 Pages Posted: 23 Aug 2019

See all articles by Tony

Tony

College of Engineering, Trivandrum

Viji

College of Engineering, Trivandrum

Sreelatha

College of Engineering, Trivandrum

Date Written: August 22, 2019

Abstract

Visual object tracking is a challenging problem in which accurate scale and translation estimation is a difficult problem due to various circumstances. An efficient algorithm should correctly estimate its translation and size deformation under varying conditions. In this paper, we extract multiple channel features and measure its discriminative ability by estimating a weight factor for the object under tracking. Besides, it integrates feature reduction and interpolation techniques to improve the performance of the proposed approach. This helps us to increase the search region of the target area which in turn results in an improvement of accuracy and robustness of the proposed algorithm. Segmentation of the target object is also incorporated to learn an optimised correlation filter. The algorithm uses separate filters for translation and scale estimation. Scale estimation approach and channel weight estimation process are algorithm independent methods and hence, it can be incorporated into any tracking method. Extensive experiments on visual object tracking (VOT) were conducted using the proposed approach on bench mark dataset and have shown promising results. Since only two simple standard feature sets were used, Histogram of Gradient (HoG) and Colour attributes, the novel approach can be integrated into real world applications.

Keywords: Object tracking, Spatial map, Feature reduction

Suggested Citation

Chacko, Tony and R, Viji and G, Sreelatha, Fast Adaptive Spatial Reduction for Discriminative Correlation Filter Tracking (August 22, 2019). In proceedings of the International Conference on Systems, Energy & Environment (ICSEE) 2019, GCE Kannur, Kerala, July 2019. Available at SSRN: https://ssrn.com/abstract=3441350 or http://dx.doi.org/10.2139/ssrn.3441350

Tony Chacko (Contact Author)

College of Engineering, Trivandrum ( email )

Thiruvananthapuram, Kerala 695016
India

Viji R

College of Engineering, Trivandrum ( email )

Thiruvananthapuram, Kerala 695016
India

Sreelatha G

College of Engineering, Trivandrum ( email )

Thiruvananthapuram, Kerala 695016
India

Register to save articles to
your library

Register

Paper statistics

Downloads
13
Abstract Views
106
PlumX Metrics