One important goal of surveillance systems is to collect information about the behavior and position of interested targets in the sensing environment. Traditional video surveillance systems usually cannot provide complete information of interested targets since they are limited by single and fixed monitoring directions. Recently, surveillance systems combining wireless sensor networks with video cameras have become more and more popular. In this demonstration1, we show a multi-view surveillance system consisting of several rotatable video cameras and objects. By implementing the proposed visual sensor selection algorithm, our system can provide more meaningful information from multiple rotatable cameras.