Moving object detection based on omni-directional vision

Based on omni-directional image characteristic, an algorithm is proposed to recognize and detect moving object with a static camera. First an omni-directional image is unwrapped through a fast unwrapping algorithm. Then the correction of the unwrapped image is performed based on a nonlinear distortion model. And an adaptive background modeling is built, which is real-time updated. Finally, the foreground is obtained to detect moving object. By the low resolution of the omni-directional correction image, the algorithm effectively solves problems of the noise and the shadow during the abstraction of the foreground. Experimental results show that the proposed algorithm is fast and effective.