Facial Feature Tracking Using Efficient Particle Filter and Active Appearance Model
- Title
- Facial Feature Tracking Using Efficient Particle Filter and Active Appearance Model
- Author
- 서일홍
- Keywords
- Facial Feature Tracking; Particle Filter; Active Appearance Model; Robot Vision; Human-robot Interaction
- Issue Date
- 2014-09
- Publisher
- INTECH EUROPE, JANEZA TRDINE 9, RIJEKA, 51000, CROATIA
- Citation
- INTERNATIONAL JOURNAL OF ADVANCED ROBOTIC SYSTEMS, SEP 25 2014, 11, 154
- Abstract
- For natural human-robot interaction, the location and shape of facial features in a real environment must be identified. One robust method to track facial features is by using a particle filter and the active appearance model. However, the processing speed of this method is too slow for utilization in practice. In order to improve the efficiency of the method, we propose two ideas: (1) changing the number of particles situationally, and (2) switching the prediction model depending upon the degree of the importance of each particle using a combination strategy and a clustering strategy. Experimental results show that the proposed method is about four times faster than the conventional method using a particle filter and the active appearance model, without any loss of performance.
- URI
- http://journals.sagepub.com/doi/10.5772/58761http://hdl.handle.net/20.500.11754/48314
- ISSN
- 1729-8806
- DOI
- 10.5772/58761
- Appears in Collections:
- COLLEGE OF ENGINEERING[S](공과대학) > ELECTRONIC ENGINEERING(융합전자공학부) > Articles
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