Reducing camera vibrations and photometric changes in surveillance video

We analyze the consequences of instabilities and fluctuations, such as camera shaking and illumination/exposure changes, on typical surveillance video material and devise a systematic way to compensate these changes as much as possible. The phase correlation method plays a decisive role in the proposed scheme, since it is inherently insensitive to gain and offset changes, as well as insensitive against different linear degradations (due to time-variant motion blur) in subsequent images. We show that the listed variations can be compensated effectively, and the image data can be equilibrated significantly before a temporal change detection and/or a background-based detection is performed. We verify the usefulness of the method by comparative tests with and without stabilization, using the changedetection.net benchmark and several state-of-the-art detections methods.