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Robust visual tracking combining global and local appearance models

Published: 30 December 2010 Publication History

Abstract

In this paper, we present a robust visual tracking method combining global and local appearance models. We model the object to be tracked with a RGB color histogram and multiple histograms of oriented gradients (HOG). Modeling object using only the former, a global appearance model, is widely used in visual tracking. However, it suffers many challenges such as illumination changes and pose changes and so on. In order to overcome this problem, we also model the object with multiple block based HOG histograms. The HOG histogram is a local appearance model and can effectively represent the shape information of the object which also gain increasing interests in computer vision especially in pedestrian detection. These two appearance models are complementary and used in the particle filter tracking framework. We test the performance of the proposed method on several challenging sequences, which verifies that our method outperforms the standard particle filter and achieves significant improvement.

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Published In

cover image ACM Other conferences
ICIMCS '10: Proceedings of the Second International Conference on Internet Multimedia Computing and Service
December 2010
218 pages
ISBN:9781450304603
DOI:10.1145/1937728
  • General Chairs:
  • Yong Rui,
  • Klara Nahrstedt,
  • Xiaofei Xu,
  • Program Chairs:
  • Hongxun Yao,
  • Shuqiang Jiang,
  • Jian Cheng
Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

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Association for Computing Machinery

New York, NY, United States

Publication History

Published: 30 December 2010

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Author Tags

  1. global and local appearance models
  2. histograms of oriented gradients
  3. particle filters
  4. visual tracking

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ICIMCS '10

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Overall Acceptance Rate 163 of 456 submissions, 36%

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