Abstract: A method for dismount detection in low-resolution UAV imagery, comprising providing an input image, processing a greyscale distribution of the input image, determining a rough classification in the input image based on the grayscale distribution, determining the optimal parameters based on the rough classification, estimating one or more potential dismount locations, applying an area filter to the one or more potential dismount locations, removing undesired locations from the one or more potential dismount locations, applying one or more secondary filters to the resulting one or more potential dismount locations, assigning a probability to the one or more potential dismount locations, and assessing desirability of the one or more potential dismount locations.

Abstract: Multi-source multi-modal activity recognition for conducting aerial video surveillance comprising detecting and tracking multiple dynamic targets from a moving platform, representing FMV target tracks and chat-messages as graphs of attributes, associating FMV tracks and chat-messages using a probabilistic graph based mapping approach; and detecting spatial-temporal activity boundaries.

Abstract: Multi-source multi-modal activity recognition for conducting aerial video surveillance comprising detecting and tracking multiple dynamic targets from a moving platform, representing FMV target tracks and chat-messages as graphs of attributes, associating FMV tracks and chat-messages using a probabilistic graph based mapping approach; and detecting spatial-temporal activity boundaries.

Abstract: A method for dismount detection in low-resolution UAV imagery, comprising providing an input image, processing a greyscale distribution of the input image, determining a rough classification in the input image based on the grayscale distribution, determining the optimal parameters based on the rough classification, estimating one or more potential dismount locations, applying an area filter to the one or more potential dismount locations, removing undesired locations from the one or more potential dismount locations, applying one or more secondary filters to the resulting one or more potential dismount locations, assigning a probability to the one or more potential dismount locations, and assessing desirability of the one or more potential dismount locations.

Abstract: A speech generation device is disclosed. The speech generation device may include a head mounted display unit having a variety of different components that enhance the functionality of the speech generation device. The speech generation device may further include computer-readable medium that, when executed by a processor, instruct the speech generation device to perform desired functions.

Abstract: A human eye is detected in a video image by identifying potential eye candidates using horizontal and vertical projection filtering on a specified portion of the image, coupled with rudimentary appearance-based testing. The identified eye candidates are clustered and winning eye candidates are selected based on appearance, spatial-geometric and anthropomorphic considerations. The winning eye candidates are subjected to additional appearance-based testing, and high confidence eye candidates are accepted if they favorably compare with identified eye candidates from previous video image frames.

Abstract: A system and method are provided for detecting one or both eyes of the driver of a vehicle. The system includes a video imaging camera oriented to generate images of the driver's face. The system also includes a video processor for processing the images generated with the video imaging camera. Filters are applied to each of potential eye candidates to determine which candidates represent an eye, weighted values are assigned to the filtered eye candidates, and an eye is detected based on the weighting of each eye candidate. According to one aspect, different size patches of potential eye candidates are processed and compared to models.

Abstract: A system for measuring the awareness of a subject including an imaging device adapted to acquire data representative of an image of the subject, and an awareness processor connected to the imaging device, wherein the awareness processor is adapted to classify the awareness of the subject according to the position of the subject.

Abstract: A system and method are provided for monitoring an eye to determine eye closure. The system includes a video imaging camera oriented to generate images of an eye. The system also includes a video processor for processing the images generated with the video imaging camera. The processor includes an edge detector for detecting edges of the eye in the image and a line selector for generating substantially horizontal first and second lines representative of the detected edges. The processor determines the state of eye closure, such as eye open or eye closed, based on distance between the first and second lines. The system may be employed on a vehicle to determine the eye closure of a driver of the vehicle.

Abstract: A system and method are provided for monitoring an eye to determine eye closure. The system includes a video imaging camera oriented to generate images of an eye, and a video processor for processing the images. The processor includes an edge detector for detecting edges of the eye in the image, and a line selector for generating a plurality of lines at multiple angles representative of the detected edges. The processor determines the state of eye closure, such as eye open or eye closed, based on the number of lines at selected angles. The system may be employed on a vehicle to determine the eye closure of a driver of the vehicle.

Abstract: A system and method are provided for monitoring an eye to determine eye closure. The system includes a video imaging camera oriented to generate images of an eye, and a video processor for processing the images. The processor includes an edge detector for detecting edges of the eye in the image, and a line selector for generating lines at any of select angles representative of the detected edges. The processor determines the state of eye closure, such as an open eye or closed eye, based on an angle between two of the lines that select angles. The system may be employed on a vehicle to determine the eye closure state of a driver of the vehicle.

Abstract: An object tracking method tracks a target object between successively generated infrared video images using a grey-scale hat filter to extract the target object from the background. The filtered image is binarized, and candidate binary blobs are extracted. The binary blob that minimizes the Euclidian spatial distance to the previous position of the object and satisfies a specified appearance model is selected, and its center of mass is taken as the current position of the object. Where the object is a person's eye, the eye state and decision confidence are determined by analyzing the shape and appearance of the binary blob along with changes in its size and the previous eye state, and applying corresponding parameters to an eye state decision matrix.

Abstract: An eye tracking method tracks a subject's eye template by correlation between successive video frames, and periodically updates the eye template based on detected characteristic eye or eyelid movement such as blinking, eyelash movement and iris movement. In the absence of eyelid motion detection, a state vector corresponding to the center of the subject's eye is determined by a correlation technique, and when eyelid motion is detected, the state vector is determined based on the location of the detected motion.

Abstract: A system and method are provided for monitoring an eye. The system includes a video imaging camera oriented to generate images of an eye. The camera is aligned along an imaging axis. A first light source is located at an angle less than 2.5 degrees of the imaging axis for illuminating the eye. A second light source is arranged at an angle greater than 4.5 degrees from the imaging axis for illuminating the eye. The system includes a processor for processing the images generated with the video imaging camera during illumination of the eye with the first light source and during illumination of the eye with the second light source.