@article {IOPORT.05062704,
    author       = {Veit, Thomas and Cao, Fr\'ed\'eric and Bouthemy, Patrick},
    title        = {An a contrario decision framework for region-based motion detection.},
    year         = {2006},
    journal      = {International Journal of Computer Vision},
    volume       = {68},
    number       = {2},
    issn         = {0920-5691},
    pages        = {163-178},
    publisher    = {Springer, New York, NY},
    doi          = {10.1007/s11263-006-6661-2},
    abstract     = {Summary: The aim of motion detection is to decide whether a given part of an image belongs to a moving object or to the static background. This paper proposes an automatic decision rule for the detection of moving regions. The proposed framework is derived from a perceptual grouping principle, namely the Helmholtz principle. This principle basically states that perceptually relevant events are perceived because they deviate from a model of complete randomness. Detections are then said to be performed a contrario: moving regions appear as low probability events in a model corresponding to the absence of moving objects in the scene. A careful design of the events considered under the hypothesis of absence of moving objects results in a general and robust motion detection algorithm. No posterior parameter tuning is necessary. Furthermore, a confidence level is attached to each detected region.},
    identifier   = {05062704},
}