Abstract: A method for identifying a gesture from one of a plurality of dynamic gestures, each dynamic gesture comprising a distinct movement made by a user over a period of time within a field of view of an image acquisition device comprises iteratively: acquiring a current image from said image acquisition device at a given time; and passing at least a portion of the current image through a bidirectionally recurrent multi-layer classifier. A final layer of the multi-layer classifier comprises an output indicating a probability that a gesture from the plurality of dynamic gestures is being made by a user during the time of acquiring the image.

Abstract: A vehicle cabin monitoring system includes a customization profile for storing: annotated images associated with annotation(s) indicating a ground truth for an associated region of an image; and a plurality of core processing parameters for an image processing component of an image processor. The system is: responsive to user interaction with a user interactive control of the vehicle within a field of view of a camera for storing an image acquired by the camera at the time of interaction in the customization profile with an annotation indicating a ground truth for an associated region of the image according to the interaction; and configured to use images from the customization profile for re-training an image processing component of the processor and for storing updated core processing parameters produced by the re-training in the customization profile for use by the re-trained image processing component in processing subsequently acquired images.

Abstract: A method for identifying a gesture from one of a plurality of dynamic gestures, each dynamic gesture comprising a distinct movement made by a user over a period of time within a field of view of an image acquisition device comprises iteratively: acquiring a current image from said image acquisition device at a given time; and passing at least a portion of the current image through a bidirectionally recurrent multi-layer classifier. A final layer of the multi-layer classifier comprises an output indicating a probability that a gesture from the plurality of dynamic gestures is being made by a user during the time of acquiring the image.