Abstract
In this paper, we propose a method for extracting humans in the foreground of video frames using color and depth information. To ensure real-time performance and to increase accuracy, we classify a video frame into two parts by degree of noise: head region with high noise level, and non-head region with low noise level. Then, we apply a high-computational geodesic matting algorithm to the noisy head region that includes hair, and a low-computational hole filling with smoothing method to other regions. Additionally, we modify the traditional color-based geodesic segmentation algorithm to consider additional depth information. Then, we apply temporal/spatial smoothing to the blended foreground mask in order to enhance the coherence between video frames. Experimental results show that the proposed method outperforms a previous approach by accuracy and performance.
Original language | English |
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Pages (from-to) | 28409-28421 |
Number of pages | 13 |
Journal | Multimedia Tools and Applications |
Volume | 78 |
Issue number | 20 |
DOIs | |
Publication status | Published - 2019 Oct 1 |
Bibliographical note
Funding Information:This work was supported by ZoYool Co., Ltd. and KCTVJEJU Co., Ltd.
Publisher Copyright:
© 2017, Springer Science+Business Media, LLC, part of Springer Nature.
All Science Journal Classification (ASJC) codes
- Software
- Media Technology
- Hardware and Architecture
- Computer Networks and Communications