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Information 2017, 8(2), 43; doi:10.3390/info8020043

Object Tracking by a Combination of Discriminative Global and Generative Multi-Scale Local Models

School of Electronic and Information Engineering, South China University of Technology, No. 381, Wushan Road, Tianhe District, Guangzhou 510640, China
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Academic Editor: Willy Susilo
Received: 6 February 2017 / Revised: 5 April 2017 / Accepted: 5 April 2017 / Published: 11 April 2017
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Abstract

Object tracking is a challenging task in many computer vision applications due to occlusion, scale variation and background clutter, etc. In this paper, we propose a tracking algorithm by combining discriminative global and generative multi-scale local models. In the global model, we teach a classifier with sparse discriminative features to separate the target object from the background based on holistic templates. In the multi-scale local model, the object is represented by multi-scale local sparse representation histograms, which exploit the complementary partial and spatial information of an object across different scales. Finally, a collaborative similarity score of one candidate target is input into a Bayesian inference framework to estimate the target state sequentially during tracking. Experimental results on the various challenging video sequences show that the proposed method performs favorably compared to several state-of-the-art trackers. View Full-Text
Keywords: object tracking; sparse representation; Bayesian inference; discriminative global model; generative multi-scale local model object tracking; sparse representation; Bayesian inference; discriminative global model; generative multi-scale local model
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This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. (CC BY 4.0).

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Song, Z.; Sun, J.; Yu, J. Object Tracking by a Combination of Discriminative Global and Generative Multi-Scale Local Models. Information 2017, 8, 43.

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