Abstract: Video analysis methods are described in which abnormalities are detected by comparing features extracted from a video sequence or motion patterns determined from the video sequence with a statistical model. The statistical model may be updated during the video analysis.

Abstract: Video analysis methods are described in which abnormalities are detected by comparing features extracted from a video sequence or motion patterns determined from the video sequence with a statistical model. The statistical model may be updated during the video analysis.

Abstract: Video analysis methods are described in which abnormalities are detected by comparing features extracted from a video sequence or motion patterns determined from the video sequence with a statistical model. The statistical model may be updated during the video analysis.

Abstract: Video analysis methods are described in which abnormalities are detected by comparing features extracted from a video sequence or motion patterns determined from the video sequence with a statistical model. The statistical model may be updated during the video analysis.

Abstract: The invention relates to a vehicle or traffic control method and to a vehicle or traffic control system. The vehicle or traffic control method comprises the steps: a) estimating actual and/or future behavior of a first traffic participant and of a second traffic participant, respectively, the second traffic participant being different from the first traffic participant, b) estimating a trajectory to be taken by the first traffic participant and/or a trajectory to be taken by the second traffic participant, c) determining risk of collision of the first traffic participant relative to the second traffic participant by calculating information adapted for risk assessment of collision of the first traffic participant relative to the second traffic participant, and d) controlling the behavior of the first traffic participant based on the information provided after step a), step b) and/or step c).