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Transfer useful knowledge for headpose estimation from low resolution images

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Abstract

The knowledge of where a person is looking is useful in human computer interaction as well as human behavior analysis. Headpose estimation from low resolution images is still a challenge problem due to noisy feature representation for low resolution images. In this paper, we investigate transfer learning technique to conquer the weakness of the apperance-based feature of humans head-pose when their relative locations to far-field cameras are different. We evaluate our methods on public datasets which prove the efficiency of our proposed method.

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Authors and Affiliations

  1. School of Electronic Engineering, Hunan College of Information, Hunan, China

    Ping’an Li, Yufeng Li & Lixin Tan

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  1. Ping’an Li
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  2. Yufeng Li
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  3. Lixin Tan
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Correspondence to Ping’an Li.

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Li, P., Li, Y. & Tan, L. Transfer useful knowledge for headpose estimation from low resolution images. Multimed Tools Appl 75, 9395–9408 (2016). https://doi.org/10.1007/s11042-016-3297-2

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  • DOI: https://doi.org/10.1007/s11042-016-3297-2

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