We present a distributed and dynamic model of visual attention based on the Continuum Neural Field Theory that allows to sequentially focus salient locations in an image. A working memory system ensures that the corresponding objects are only focused once, even if they are moving around, such that the visual search is efficient. The model has been implemented on a robotic platform in order to search for natural objects such as fruits.