Automatic Video Chromakeying Generation Technology Using Background Modeling
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초록
In online meetings and classes using webcams, the chromakey technique is a very necessary part to produce content. We proposed a technology that enables background synthesis without using a cloth for chromakey. The proposed method consists of three steps: an HSI image conversion step, a step of detecting a region changed from a background, and a step of replacing the background region with a chromakey and applying it. In the input video, the block average image of each frame is calculated, and the difference between the block average image of the background image and the block average image of the input image is used to detect the change area. The developed chromakey effect technology uses a technique of acquiring a background image without an object from a single camera and extracting only an object by distinguishing the moving object and the background. The proposed method is not only capable of processing even if the background has a variety of colors, but also has the seamless processing of the boundary lines of objects.
Abstract
In online meetings and classes using webcams, the chromakey technique is a very necessary part to produce content. We proposed a technology that enables background synthesis without using a cloth for chromakey. The proposed method consists of three steps: an HSI image conversion step, a step of detecting a region changed from a background, and a step of replacing the background region with a chromakey and applying it. In the input video, the block average image of each frame is calculated, and the difference between the block average image of the background image and the block average image of the input image is used to detect the change area. The developed chromakey effect technology uses a technique of acquiring a background image without an object from a single camera and extracting only an object by distinguishing the moving object and the background. The proposed method is not only capable of processing even if the background has a variety of colors, but also has the seamless processing of the boundary lines of objects.
참고문헌 (15)
- A. Yamashita, "Every color chromakey", 2008 19th International Conference on Pattern Recognition, pp.1~4 (2008)
- S. R. Rodrigues, "The Generation of Scenes in Mixed Reality Environments using the Chromakey Technique", 17th International Conference on Artificial Reality and Telexistence (ICAT 2007), pp.296~297 (2007)
- Glenn J. Tattersall, "Activity analysis of thermal imaging videos using a difference imaging approach", Journal of Thermal Biology, 91, pp.102611~ (2020), Elsevier BV[DOI]
- C. Yang, "Embedded moving image detection based on background subtraction and finite difference method", 20125th International Congress on Image and Signal Processing, Chongqing, pp.68~71 (2012)
- A. Ajam, "Content-based Image Retrieval Using Color Difference Histogram in Image Textures", 2019 5th Iranian Conference on Signal Processing and Intelligent Systems (ICSPIS), pp.1~6 (2019)
- L. Liu, "Target Detection and Extraction Based on Motion Attention Model", 2018 Chinese Automation Congress (CAC), pp.1919~1922 (2018)
- G. A. Khaskheli, "A mediation analysis of social media marketing between the relationship of entrepreneurial marketing strategies and the performance of small &medium enterprises in Pakistan", Indian Journal of Science and Technology, 13(29), pp.2024~2034 (2020)[DOI]
- B. Naik, "Extra-tree learning based Socio-economic factor analysis and multi-class adaptive boosting meta-estimator for prediction of agricultural productivity", Indian Journal of Science and Technology, 13(29), pp.2081~2101 (2020)[DOI]
- Ivan Vishniakou, "Virtual reality for animal navigation with camera-based optical flow tracking", Journal of Neuroscience Methods, 327, pp.108403~ (2019), Elsevier BV[DOI]
- M. Piccardi., "Background subtraction techniques: a review", Systems, Man and Cybernetics, 2004, pp.4 (2004), 3099~3104
- Swati, "Higher order Emden–Fowler type equations via uniform Haar Wavelet resolution technique", Journal of Computational and Applied Mathematics, 376, pp.112836~ (2020), Elsevier BV[DOI]
- Yi Kong, "Spectral–Spatial Feature Extraction for HSI Classification Based on Supervised Hypergraph and Sample Expanded CNN", IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 11(11), pp.4128~4140 (2018), Institute of Electrical and Electronics Engineers (IEEE)[DOI]
- Lingfei Song, "Fast HSI super resolution using linear regression", IET Image Processing, 13(10), pp.1671~1679 (2019), Institution of Engineering and Technology (IET)[DOI]
- Alvy Ray Smith, "Color gamut transform pairs", ACM SIGGRAPH Computer Graphics, 12(3), pp.12~19 (1978), Association for Computing Machinery (ACM)[DOI]
- G. S. Yoo, "Embedding QR code in the wavelet domain of image for metadata hiding", Indian Journal of Science and Technology, 9(29), pp.1~10 (2016)[DOI]
