Moving object detection in color image sequences using region-level graph labeling

We aim at detecting moving objects in color image sequences acquired with a mobile camera. This issue is of key importance in many application fields. To accurately recover motion boundaries, we exploit a fine spatial image partition supplied by a MRF-based color segmentation algorithm. We introduce a region-level graph modeling embedded in a Markovian framework to detect moving objects in the scene viewed by a mobile camera. This is stated as the binary segmentation into regions conforming or not conforming to the dominant image motion assumed to be due to the camera movement. The method is validated on real image sequences.