Conventional wide-area video surveillance systems use a network of fixed cameras positioned close to locations of interest. We proposed a radically different approach to wide area surveillance based on observation streams collected from mobile cameras mounted on buses. We allowed a “virtual observer” to be placed anywhere within the space covered by the sensor network, and to reconstruct the scene at these arbitrary points. Use of such imagery is challenging because mobile cameras have variable position and orientation, and sample a large spatial area but at low temporal resolution. Additionally, the views of any particular place are distributed across many different video streams. Addressing this problem, we presented a system in which views from an arbitrary perspective can be constructed by indexing, organising, and transforming images collected from multiple streams acquired from a network of mobile cameras. Our system supported retrieval of raw images based on constraints of space, time, and geometry (e.g. visibility of landmarks). It also allowed the synthesis of wide-angle panoramic views in situations where the camera motion produces suitable sampling of the scene and metaphors for query and presentation that overcome the complexity of the data.