Abstract
This paper proposes an efficient algorithm for head pose tracking. The most preexisting head pose tracking method usually consists of high cost computing algorithm. Therefore, it is difficult to implement head pose tracking in a mobile system with low performance hardware such as smartphone. In this paper, we propose a low cost computing algorithm for fast head pose tracking method. The proposed method consists of two stages: rough tracking and precise tracking stages. Especially, this paper discusses the efficient design of precise tracking stage. According to the experimental results, we demonstrate that our method increases the tracking performance using the proposed coarse-to-fine random sampling algorithm.
| Original language | English |
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| Pages | 2513-2517 |
| Number of pages | 5 |
| Publication status | Published - 2013 Jan 1 |
| Event | 2013 52nd Annual Conference of the Society of Instrument and Control Engineers of Japan, SICE 2013 - Nagoya, Japan Duration: 2013 Sep 14 → 2013 Sep 17 |
Other
| Other | 2013 52nd Annual Conference of the Society of Instrument and Control Engineers of Japan, SICE 2013 |
|---|---|
| Country | Japan |
| City | Nagoya |
| Period | 13/9/14 → 13/9/17 |
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Keywords
- Coarse-to-fine random sampling
- Head pose tracking
- Image processing
- Measurement
ASJC Scopus subject areas
- Control and Systems Engineering
- Computer Science Applications
- Electrical and Electronic Engineering
Cite this
Takahashi, K., & Mitsukura, Y. (2013). Head pose tracking based on optimizing normalized cross-correlation. 2513-2517. Paper presented at 2013 52nd Annual Conference of the Society of Instrument and Control Engineers of Japan, SICE 2013, Nagoya, Japan.