Abstract
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.
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Veit, T., Cao, F. & Bouthemy, P. An a contrario Decision Framework for Region-Based Motion Detection. Int J Comput Vision 68, 163–178 (2006). https://doi.org/10.1007/s11263-006-6661-2
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DOI: https://doi.org/10.1007/s11263-006-6661-2