한국콘텐츠학회:학술대회논문집 (Proceedings of the Korea Contents Association Conference)
- 한국콘텐츠학회 2009년도 춘계 종합학술대회 논문집
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- Pages.23-29
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- 2009
A Fast and Precise Blob Detection
- 빈흐타한 (숭실대학교) ;
- Nguyen, Thanh Binh (School of Electronics Engineering, Soongsil University) ;
- Chung, Sun-Tae (School of Electronics Engineering, Soongsil University)
- 발행 : 2009.05.22
초록
Blob detection is an essential ingredient process in some computer applications such as intelligent visual surveillance. However, previous blob detection algorithms are still computationally heavy so that supporting real-time multi-channel intelligent visual surveillance in a workstation or even one-channel real-time visual surveillance in a embedded system using them turns out prohibitively difficult. In this paper, we propose a fast and precise blob detection algorithm for visual surveillance. Blob detection in visual surveillance goes through several processing steps: foreground mask extraction, foreground mask correction, and connected component labeling. Foreground mask correction necessary for a precise detection is usually accomplished using morphological operations like opening and closing. Morphological operations are computationally expensive and moreover, they are difficult to run in parallel with connected component labeling routine since they need much different processing from what connected component labeling does. In this paper, we first develop a fast and precise foreground mask correction method utilizing on neighbor pixel checking which is also employed in connected component labeling so that the developed foreground mask correction method can be incorporated into connected component labeling routine. Through experiments, it is verified that our proposed blob detection algorithm based on the foreground mask correction method developed in this paper shows better processing speed and more precise blob detection.
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