Abstract: Systems and methods for determining whether a region of interest (ROI) includes a runway are provided. One system includes a camera for capturing an image of the ROI, an analysis module for generating a binary large object (BLOB) of at least a portion of the ROI, and a synthetic vision system including a template of the runway. The system further includes a segmentation module for determining if the ROI includes the runway based on a comparison of the template and the BLOB. One method includes the steps of identifying a position for each corner on the BLOB and forming a polygon on the BLOB based on the position of each corner. The method further includes the step of determining that the BLOB represents the runway based on a comparison of the polygon and a template of the runway. Also provided are computer-readable mediums storing instructions for performing the above method.

Abstract: Methods, functional data, and systems are provided for image feature translation. An image is decomposed into sub images, each sub image having its features identified by feature attributes. The feature attributes are used to identify a particular feature within each sub image. The orientation of the particular feature within the sub image is then mapped or calculated to a value. One or more of the mapped or calculated values are translated into a reading associated with an instrument. The reading is then optionally recorded or transmitted.

Abstract: Methods and apparatus are provided for detecting and tracking a target. Images are captured from a field of view by at least two cameras mounted on one or more platforms. These images are analyzed to identify landmarks with the images which can be used to track the targets position from frame to frame. The images are fused (merged) with information about the target or platform position from at least one sensor to detect and track the target. The targets position with respect to the position of the platform is displayed or the position of the platform relative to the target is displayed.

Abstract: Methods and apparatus are provided for locating a runway by detecting an object (or blob) within data representing a region of interest provided by a vision sensor. The vertices of the object are determined by finding points on the contour of the object nearest for the four corners of the region of interest. The runway can then be identified to the pilot of the aircraft by extending lines between the vertices to identify the location of the runway.

Abstract: A checkpoint screening system uses multiple cameras to provide images at different angles of a person to be screened. Different features extracted from the images at different angles are compared to a profile associated with the person to be screened. In one embodiment, the person first provides an ID, such as a drivers license or other identification, and the profile is retrieved. If a match is detected, the person may continue through the checkpoint. If no match is detected, the person may be directed to a different path through the checkpoint for further verification of identity. A registration process is used to enroll members and obtain a member profile. Three camera angles are utilized to provide a three dimensional image. Each image is independently compared against the profile and the decisions from such comparisons are weighted. The profile is regressively updated and weighted if a match is detected.

Abstract: A system for providing stand-off biometric verification of a driver of a vehicle at a control gate while the vehicle is moving, including a pre-verification system and a post-verification systems. The pre-verification system is installed before an entrance of a facility and comprises an RFID vehicle tag reader, an RFID personal tag reader and a facial detection and recognition (verification) system. The RFID vehicle tag reader scans and reads an ID from an RFID vehicle tag of the vehicle that is trying to pass through the gate. The RFID personal tag reader reads an ID from an RFID personal tag carried by personnel who are driving in the vehicle. The facial detection and verification system scans and reads facial images for the driver. The post-verification system is installed on at least one of an entrance and an exit for post-verification to ensure that the vehicle that enters the entrance or leaves from the exit is the one that has been verified/denied at the control gate.

Abstract: A method for characterizing engine wear includes the steps of generating operational data representative of engine operation, comparing the operational data with baseline operational data generated by a baseline operational model of the engine and generating a first deviation vector based on this comparison, generating a plurality of data images of an engine component following engine operation, comparing each of the plurality of data images with a baseline image of the engine component and generating a second deviation vector based on this comparison, and quantifying a relationship between the first deviation vector and the second deviation vector. The first deviation vector represents variation between the operational data and the baseline operational data. The second deviation vector represents variation between the plurality of data images and the baseline images.

Abstract: A system and method for fusing sensor data and synthetic data to form an integrated image are described. An image registration process is used to fuse the images. The image registration process is performed on gradients of a landmark image. The gradients are extracted from both sensor and synthetic datasets for the landmark image. Using the image gradient, a center of mass for each of the gradient's curves is calculated. By solving a minimization problem to reduce error, a desired transformation operator can be obtained to match the sensor image to the synthetic image.

Abstract: Methods, functional data, and systems are provided for image feature translation. An image is decomposed into sub images, each sub image having its features identified by feature attributes. The feature attributes are used to identify a particular feature within each sub image. The orientation of the particular feature within the sub image is then mapped or calculated to a value. One or more of the mapped or calculated values are translated into a reading associated with an instrument. The reading is then optionally recorded or transmitted.

Abstract: A visual object detection system to provide access and/or presence monitoring of an area of interest. In steady state operation, that is when no object is entering or within the area of interest, only those portions of the incoming images that correspond to the border of the area of interest are analyzed. Once the border is breached by an object, the present invention may begin analyzing the entire area or selected regions inside the border of the area of interest. This may provide some level of presence monitoring of the area of interest. It is contemplated that both modes of analysis can take place simultaneously or sequentially, depending on the application. Once the object leaves the area of interest, the present invention preferably returns to the original steady state, and monitors only the border regions of the incoming images.

Abstract: An object detection system is provided that projects one or more patterns onto a monitored area, captures one or more live images of the monitored area, and detects objects that enter the monitored area by detecting changes in the one or more patterns in the live images. Such an object detection system may be less susceptible to dynamic lighting conditions, and more sensitive to object intrusions. One illustrative example projects a pattern of dots onto an area to be monitored, and captures images corresponding to the monitored area, comparing live images to reference images to determine whether an object has intruded a defined area. The area to be monitored does not consist solely of the area captured in the images and may include a volume illuminated by the pattern as well as a volume corresponding to the captured image area. Objects not in the field of view may be detected by the disclosed systems and methods. Several illustrative analytical methods are disclosed as well.

Abstract: Methods, data, and systems are provided to warp an image. Input pixels associated with an input image are warped according to a provided or obtained warping function. A single weight is assigned to each input pixel. The weight represents each input pixel's horizontal and vertical dimensions within an output lattice. The single weight is combined with an intensity value associated with each input pixel to map each input pixel to the output lattice in a single processing pass.

Abstract: An object detection system is provided that projects one or more patterns onto a monitored area, captures one or more live images of the monitored area, and detects objects that enter the monitored area by detecting changes in the one or more patterns in the live images. Such an object detection system may be less susceptible to dynamic lighting conditions, and more sensitive to object motion and/or presence.

Abstract: An object detection system is provided that projects one or more patterns onto a monitored area, captures one or more live images of the monitored area, and detects objects that enter the monitored area by detecting changes in the one or more patterns in the live images. Such an object detection system may be less susceptible to dynamic lighting conditions, and more sensitive to object intrusions. One illustrative example projects a pattern of dots onto an area to be monitored, and captures images corresponding to the monitored area, comparing live images to reference images to determine whether an object has intruded a defined area. The area to be monitored does not consist solely of the area captured in the images and may include a volume illuminated by the pattern as well as a volume corresponding to the captured image area. Objects not in the field of view may be detected by the disclosed systems and methods. Several illustrative analytical methods are disclosed as well.

Abstract: A checkpoint screening system uses multiple cameras to provide images at different angles of a person to be screened. Different features extracted from the images at different angles are compared to a profile associated with the person to be screened. In one embodiment, the person first provides an ID, such as a drivers license or other identification, and the profile is retrieved. If a match is detected, the person may continue through the checkpoint. If no match is detected, the person may be directed to a different path through the checkpoint for further verification of identity. A registration process is used to enroll members and obtain a member profile. Three camera angles are utilized to provide a three dimensional image. Each image is independently compared against the profile and the decisions from such comparisons are weighted. The profile is regressively updated and weighted if a match is detected.

Abstract: Methods, functional data, and systems are provided for image feature translation. An image is decomposed into sub images, each sub image having its features identified by feature attributes. The feature attributes are used to identify a particular feature within each sub image. The orientation of the particular feature within the sub image is then mapped or calculated to a value. One or more of the mapped or calculated values are translated into a reading associated with an instrument. The reading is then optionally recorded or transmitted.

Abstract: Methods, data, and systems are provided to warp an image. Input pixels associated with an input image are warped according to a provided or obtained warping function. A single weight is assigned to each input pixel. The weight represents each input pixel's horizontal and vertical dimensions within an output lattice. The single weight is combined with an intensity value associated with each input pixel to map each input pixel to the output lattice in a single processing pass.

Abstract: An object detection system is provided that projects one or more patterns onto a monitored area, captures one or more live images of the monitored area, and detects objects that enter the monitored area by detecting changes in the one or more patterns in the live images. Such an object detection system may be less susceptible to dynamic lighting conditions, and more sensitive to object motion and/or presence.

Abstract: A visual object detection system to provide access and/or presence monitoring of an area of interest. In steady state operation, that is when no object is entering or within the area of interest, only those portions of the incoming images that correspond to the border of the area of interest are analyzed. Once the border is breached by an object, the present invention may begin analyzing the entire area or selected regions inside the border of the area of interest. This may provide some level of presence monitoring of the area of interest. It is contemplated that both modes of analysis can take place simultaneously or sequentially, depending on the application. Once the object leaves the area of interest, the present invention preferably returns to the original steady state, and monitors only the border regions of the incoming images.