Abstract: Generating a composite geo-referenced panoramic field of view image of a geographic area is provided. Geodetic coordinates are generated for each of a plurality of pixels in a digital image capturing the geographic area based on a corrected amount of image distortion in each line of pixels in the plurality of pixels in the digital image. Each of the plurality of pixels in the digital image with the calculated geodetic coordinates is mapped to a geo-referenced map corresponding to the geographic area based on the calculated geodetic coordinates of each pixel. The composite geo-referenced panoramic field of view image of the geographic area is generated based on the mapping of each of the plurality of pixels in the digital image with the calculated geodetic coordinates to the geo-referenced map corresponding to the geographic area captured in the digital image.

Abstract: Generating a composite geo-referenced panoramic field of view image of a geographic area is provided. Geodetic coordinates are generated for each of a plurality of pixels in a digital image capturing the geographic area based on a corrected amount of image distortion in each line of pixels in the plurality of pixels in the digital image. Each of the plurality of pixels in the digital image with the calculated geodetic coordinates is mapped to a geo-referenced map corresponding to the geographic area based on the calculated geodetic coordinates of each pixel. The composite geo-referenced panoramic field of view image of the geographic area is generated based on the mapping of each of the plurality of pixels in the digital image with the calculated geodetic coordinates to the geo-referenced map corresponding to the geographic area captured in the digital image.

Abstract: A system and computer program product for performing visual surveillance of one or more moving objects include registering one or more images captured by one or more cameras, wherein registering the one or more images comprises region-based registration of the one or more images in two or more adjacent frames, performing motion segmentation of the one or more images to detect one or more moving objects and one or more background regions in the one or more images, and tracking the one or more moving objects to facilitate visual surveillance of the one or more moving objects.

Abstract: A method for summarizing image content from video images received from a moving camera includes detecting foreground objects in the images, determining moving objects of interest from the foreground objects, tracking the moving objects, rating movements of the tracked objects, and generating a list of highly rated segments within the video images based on the ratings.

Abstract: A method for summarizing image content from video images received from a moving camera includes detecting foreground objects in the images, determining moving objects of interest from the foreground objects, tracking the moving objects, rating movements of the tracked objects, and generating a list of highly rated segments within the video images based on the ratings.

Abstract: A system and computer program product for performing visual surveillance of one or more moving objects include registering one or more images captured by one or more cameras, wherein registering the one or more images comprises region-based registration of the one or more images in two or more adjacent frames, performing motion segmentation of the one or more images to detect one or more moving objects and one or more background regions in the one or more images, and tracking the one or more moving objects to facilitate visual surveillance of the one or more moving objects.

Abstract: A global position of an observed object is determined by obtaining a first global position of an observed object with at least one positioning device. A determination is made as to whether a set of stored visual characteristic information of at least one landmark matches a visual characteristic information set obtained from at least one captured image comprising a scene associated with the observed object. In response to the set of stored visual characteristic information matching the obtained visual characteristic information set, a second global position of the observed object is determined based on a set of stored location information associated with the at least one landmark and the first global position.

Abstract: An imaging system includes an image capturing device and a plurality of reflective devices. The image capturing device is configured to receive a plurality of images reflected by the plurality of reflective devices. Responsive to receiving the plurality of images, the image capturing device is further configured to capture within a single frame at least a first image corresponding to a first side of a first railroad track rail, a second image corresponding to a second side of the first railroad track rail, a third image corresponding to a first side of a second railroad track rail, and a fourth image corresponding to a second side of the second railroad track rail.

Abstract: A global position of an observed object is determined by obtaining a first global position of an observed object with at least one positioning device. A determination is made as to whether a set of stored visual characteristic information of at least one landmark matches a visual characteristic information set obtained from at least one captured image comprising a scene associated with the observed object. In response to the set of stored visual characteristic information matching the obtained visual characteristic information set, a second global position of the observed object is determined based on a set of stored location information associated with the at least one landmark and the first global position.

Abstract: Techniques for segmenting an object are provided. The techniques include capturing an image of an object, dividing the image into one or more blocks, computing a confidence value for each of the one or more blocks, and eliminating one or more blocks from consideration based on the confidence value for each of the one or more blocks.

Abstract: A method and system for demonstrating compliance with a requirement of a high occupancy lane in a vehicle for a reduced toll charge for the vehicle is provided. The system includes a housing, an infrared camera within the housing, a GPS unit, a transceiver and a control within the housing. The infrared camera images one or more people in the vehicle. The transceiver detects an RF signal indicating that the vehicle is located at or near a toll booth for the high occupancy lane. The control triggers the infrared camera to image the one or more people and transmit a current time, a current location of the vehicle from the GPS unit, and the triggered image of the one or more people, to a server to demonstrate compliance with the requirement of the high occupancy lane for the reduced toll charge for the vehicle.

Abstract: Generating a composite geo-referenced panoramic field of view image of a geographic area is provided. Geodetic coordinates are generated for each of a plurality of pixels in a digital image capturing the geographic area based on a corrected amount of image distortion in each line of pixels in the plurality of pixels in the digital image. Each of the plurality of pixels in the digital image with the calculated geodetic coordinates is mapped to a geo-referenced map corresponding to the geographic area based on the calculated geodetic coordinates of each pixel. The composite geo-referenced panoramic field of view image of the geographic area is generated based on the mapping of each of the plurality of pixels in the digital image with the calculated geodetic coordinates to the geo-referenced map corresponding to the geographic area captured in the digital image.

Abstract: A method for summarizing image content from video images received from a moving camera includes detecting foreground objects in the images, determining moving objects of interest from the foreground objects, tracking the moving objects, rating movements of the tracked objects, and generating a list of highly rated segments within the video images based on the ratings.

Abstract: An apparatus, computer program product, and method for reducing persistent shadows within an image. The apparatus includes a camera configured to generate frames of the image. The apparatus also includes a computer processor. The computer processor calculates the average normalized brightness for each pixel in the image and adjusts the brightness of each pixel with the average normalized brightness.

Abstract: An apparatus, computer program product, and method for reducing persistent shadows within an image. The apparatus includes a camera configured to generate frames of the image. The apparatus also includes a computer processor. The computer processor calculates the average normalized brightness for each pixel in the image and adjusts the brightness of each pixel with the average normalized brightness.

Abstract: An apparatus, computer program product, and method for reducing persistent shadows within an image. The apparatus includes a camera configured to generate frames of the image. The apparatus also includes a computer processor. The computer processor calculates the average normalized brightness for each pixel in the image and adjusts the brightness of each pixel with the average normalized brightness.

Abstract: An apparatus, computer program product, and method for reducing persistent shadows within an image. The apparatus includes a camera configured to generate frames of the image. The apparatus also includes a computer processor. The computer processor calculates the average normalized brightness for each pixel in the image and adjusts the brightness of each pixel with the average normalized brightness.

Abstract: A method for summarizing image content from video images received from a moving camera includes detecting foreground objects in the images, determining moving objects of interest from the foreground objects, tracking the moving objects, rating movements of the tracked objects, and generating a list of highly rated segments within the video images based on the ratings.

Abstract: Techniques for segmenting an object are provided. The techniques include capturing an image of an object, dividing the image into one or more blocks, computing a confidence value for each of the one or more blocks, and eliminating one or more blocks from consideration based on the confidence value for each of the one or more blocks.

Abstract: Techniques for segmenting an object at a self-checkout are provided. The techniques include capturing an image of an object at a self-checkout, dividing the image into one or more blocks, computing a confidence value for each of the one or more blocks, and eliminating one or more blocks from consideration based on the confidence value for each of the one or more blocks, wherein the one or more blocks remaining map to a region of the image containing the object.