Object detection in non-stationary video surveillance for an autonomous vehicle

In this paper, a new method for the automated video surveillance of wide areas is described. Using the images obtained from a set of cameras installed on an autonomous vehicle, a video surveillance tool has been developed, based on the comparison between images that have been taken in the same place but at different times. The vehicle drives around the watched area, looking for intruders. The method described in this paper is the image comparison system used for this task, and it is based on image registration and change detection techniques. The system has been fully tested, obtaining promising results. The validation process shows the good performance of the methods selected to develop the application. It is also able to be executed in real time with good detection rates.

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