A novel model is proposed for the object detection of solar-blind ultraviolet corona using the Poisson distribution and based on the photoelectric detection theory. This model can be used to represent the spatiotemporal characterization of solar-blind ultraviolet corona. In ultraviolet image sequences, initially, the existence of ultraviolet corona is determined by the statistical model of dark noise. Subsequently, the Poisson distribution map of the ultraviolet image is obtained using the proposed model. Finally, an improved Otsu’s method is applied to detect and extract the object of ultraviolet corona. The proposed method is successfully tested over many ultraviolet image sequences and compared with the other two methods. The experiment re-sults demonstrate that the proposed method performs better in object detection and has higher accuracy in ultraviolet image sequences.