In this work we propose a dynamic scene model to provide information about the presence of salient motion in the scene, and that could be used for focusing the attention of a pan/tilt/zoom camera, or for background modeling purposes. Rather than proposing a set of saliency detectors, we define what we mean by salient motion, and propose a precise model for it. Detecting salient motion becomes equivalent to detecting a model change. We derive optimal online procedures to solve this problem, which enable a very fast implementation. Promising results show that our model can effectively detect salient motion even in severely cluttered scenes, and while a camera is panning and tilting.
['Seon Joo Kim', 'Gianfranco Doretto', 'Jens Rittscher', 'Peter Henry Tu', 'Nils Krahnstoever', 'Marc Pollefeys']
A model change detection approach to dynamic scene modeling