Publication: Foreground segmentation in a video by using a novel dynamic codebook
Issued Date
2016-09-06
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2-s2.0-84988857288
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Mahidol University
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SCOPUS
Bibliographic Citation
2016 13th International Conference on Electrical Engineering/Electronics, Computer, Telecommunications and Information Technology, ECTI-CON 2016. (2016)
Suggested Citation
Rawitas Krungkaew, Worapan Kusakunniran Foreground segmentation in a video by using a novel dynamic codebook. 2016 13th International Conference on Electrical Engineering/Electronics, Computer, Telecommunications and Information Technology, ECTI-CON 2016. (2016). doi:10.1109/ECTICon.2016.7561253 Retrieved from: https://repository.li.mahidol.ac.th/handle/20.500.14594/43452
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Title
Foreground segmentation in a video by using a novel dynamic codebook
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Abstract
© 2016 IEEE. Foreground segmentation in a video is a key process in many applications such as object detection, an object tracking, and a behavior analysis. Since the extracted foreground objects are often used in the analytical process, the quality of the foreground is a significant factor to the success of these applications. However, there are many key challenges in the foreground segmentation, including dynamic backgrounds, gradual illumination changes, sudden illumination changes, shadows, and long-term scene changes. This paper proposes a novel dynamic codebook method to address such challenges. The dynamic codebook aims to significantly improve the conventional well-known codebook technique by introducing a technique to make a dynamic boundary of each codeword. In this technique, the lab color space is used in order to make the model more resilient to the illumination change. The experimental results and comprehensive comparisons demonstrate that the proposed method can achieve very promising performance.