We propose a method for create a background model in non-stationary scenes. Each pixel has a dynamic Gaussian mixture model. Our approach can automatically change the number of Gaussians in each pixel. The number of Gaussians increases when pixel values often change because of Illumination change, object moving and so on. On the other hand, when pixel values are constant in a while, some Gaussians are eliminated or integrated. This process helps reduce computational time. We conducted experiments to investigate the effectiveness of our approach.
The tumor suppressor p53 protein induces apoptosis in response to various kinds of DNA damage in normal cells, but it is still unclear whether or not apoptosis induced by DNA damage correlates with the p53 status in tumor cells. We determined the status of p53 by functional analysis of separated alleles in yeast in five human colon cancer cell lines, SW‐480, SW‐620, DLD‐1, COLO320 and LS174T and investigated whether p53 is necessary for apoptosis and cell cycle arrest after treatment of the cells with a DNA‐damaging agent, etoposide (VP‐16), or γ‐irradiation. Of these cell lines, only LS174T expresses a functional p53. Apoptosis was detected in SW‐480 and COLO320 cell lines, but not in the other cell lines, including LS174T cell line with a normal p53 function. Furthermore, cell cycle analysis revealed accumulation in the G2M phase preceding induction of apoptosis in SW‐480 and COLO320 cells, but not in the other cells. These results suggest that apoptotic induction by DNA damage is not necessarily related to p53 status and that induction of p53‐independent apoptosis following DNA damage may correlate with G2M arrest in the cell cycle, at least in the colon cancer cell lines used in this study.
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