Abstract: Thermal ribbon analysis is achieved via various approaches.

Abstract: Unmanned ground vehicle teleoperation is provided. A forward looking scene understanding system is employed. Region of interest based compression is employed. Driving specific scene virtualization is employed. Link quality measurement is employed. A hared control autonomy system is used.

Abstract: Thermal ribbon analysis is achieved via various approaches.

Abstract: Thermal ribbon analysis is achieved via various approaches.

Abstract: A digital image of a first garment having one or more first garment portions is received. A user has identified the first garment portions as matching one or more corresponding second garment portions of a second garment. The probability of accidental match of the first garment within the digital image in relation to the second garment is determined, by using a statistical model based on one or more parameters and based on analyses of the first garment portions. The probability of accidental match is output.

Abstract: A digital image of a first garment having one or more first garment portions is received. A user has identified the first garment portions as matching one or more corresponding second garment portions of a second garment. The probability of accidental match of the first garment within the digital image in relation to the second garment is determined, by using a statistical model based on one or more parameters and based on analysis of the first garment portions. The probability of accidental match is output.

Abstract: Dot templates are used for detecting objects within images. A computer-implemented method is performed for each of a number of dot templates corresponding to the object to be detected within an image. Each dot template is defined as a collection of points. At each position within the image, a value of the image is determined at each point of the dot template. The dot template is effectively overlaid at the given position within the image. A score of the dot template at this position is determined, based on the values of the image determined at the points of the dot template. Where the score is greater than a predetermined threshold, it can be concluded that the object is at least potentially located within the image at the position in question at which the dot template has been effectively overlaid.

Abstract: A video stream of people within a venue like a movie theater is received. The people within the video stream are analyzed. Based on analysis of the people within the video stream, virtual content is overlaid onto the video stream. The video stream, with the virtual content overlaid thereon, is then displayed onto a screen within the venue. As such, the virtual content and one or more of the people within the venue can appear to be interacting with one another as if the virtual content were real and present within the venue.

Abstract: A video stream of people within a venue like a movie theater is received. The people within the video stream are analyzed. Based on analysis of the people within the video stream, virtual content is overlaid onto the video stream. The video stream, with the virtual content overlaid thereon, is then displayed onto a screen within the venue. As such, the virtual content and one or more of the people within the venue can appear to be interacting with one another as if the virtual content were real and present within the venue.

Abstract: Dot templates are used for detecting objects within images. A computer-implemented method is performed for each of a number of dot templates corresponding to the object to be detected within an image. Each dot template is defined as a collection of points. At each position within the image, a value of the image is determined at each point of the dot template. The dot template is effectively overlaid at the given position within the image. A score of the dot template at this position is determined, based on the values of the image determined at the points of the dot template. Where the score is greater than a predetermined threshold, it can be concluded that the object is at least potentially located within the image at the position in question at which the dot template has been effectively overlaid.

Abstract: A remote forensic evidentiary item examination system includes a first station and a second station. The first station is locatable at a first location, and is adapted to have a forensic evidentiary item mounted at a fixture thereof. The second station is locatable at a second location different than and remote to the first location, and is in communicative connection with the first station. The second station is adapted to permit a user at the second location to examine the forensic evidentiary item at the first location.

Abstract: A digital image of a first garment having one or more first garment portions is received. A user has identified the first garment portions as matching one or more corresponding second garment portions of a second garment. The probability of accidental match of the first garment within the digital image in relation to the second garment is determined, by using a statistical model based on one or more parameters and based on analyses of the first garment portions. The probability of accidental match is output.

Abstract: Dot templates are used for detecting objects within images. A computer-implemented method is performed for each of a number of dot templates corresponding to the object to be detected within an image. Each dot template is defined as a collection of points. At each position within the image, a value of the image is determined at each point of the dot template. The dot template is effectively overlaid at the given position within the image. A score of the dot template at this position is determined, based on the values of the image determined at the points of the dot template. Where the score is greater than a predetermined threshold, it can be concluded that the object is at least potentially located within the image at the position in question at which the dot template has been effectively overlaid.

Abstract: Dot templates are used for detecting objects within images. A computer-implemented method is performed for each of a number of dot templates corresponding to the object to be detected within an image. Each dot template is defined as a collection of points. At each position within the image, a value of the image is determined at each point of the dot template. The dot template is effectively overlaid at the given position within the image. A score of the dot template at this position is determined, based on the values of the image determined at the points of the dot template. Where the score is greater than a predetermined threshold, it can be concluded that the object is at least potentially located within the image at the position in question at which the dot template has been effectively overlaid.

Abstract: A video stream of people within a venue like a movie theater is received. The people within the video stream are analyzed. Based on analysis of the people within the video stream, virtual content is overlaid onto the video stream. The video stream, with the virtual content overlaid thereon, is then displayed onto a screen within the venue. As such, the virtual content and one or more of the people within the venue can appear to be interacting with one another as if the virtual content were real and present within the venue.

Abstract: Dot templates are used for detecting objects within images. A computer-implemented method is performed for each of a number of dot templates corresponding to the object to be detected within an image. Each dot template is defined as a collection of points. At each position within the image, a value of the image is determined at each point of the dot template. The dot template is effectively overlaid at the given position within the image. A score of the dot template at this position is determined, based on the values of the image determined at the points of the dot template. Where the score is greater than a predetermined threshold, it can be concluded that the object is at least potentially located within the image at the position in question at which the dot template has been effectively overlaid.

Abstract: Dot templates are used for detecting objects within images. A computer-implemented method is performed for each of a number of dot templates corresponding to the object to be detected within an image. Each dot template is defined as a collection of points. At each position within the image, a value of the image is determined at each point of the dot template. The dot template is effectively overlaid at the given position within the image. A score of the dot template at this position is determined, based on the values of the image determined at the points of the dot template. Where the score is greater than a predetermined threshold, it can be concluded that the object is at least potentially located within the image at the position in question at which the dot template has been effectively overlaid.

Abstract: A sensing device includes a piezoelectric vibration sensor mounted to a surface for producing an analog signal proportional to raindrops striking the surface, an amplifier, an analog-to-digital converter, and a processor for calculating the rain rate based on an exponential probability density function of a first order point process.

Abstract: A method for determining a rate of rain falling on a surface. As rain falls and strikes the surface, vibrations are generated on the surface. The vibrations are sensed and a vibration signal is generated, the vibration signal being proportional to the vibrations of the surface. The vibration signal includes peaks. The peaks of the vibration signal are determined. The time intervals between the peaks are then determined. Using the time intervals, a number n1 of timer intervals that occur between a first time and a second time are counted. A number n2 of time intervals that occur between the second time and a third time are also counted. The rain rate ? is then determined using an equation that is derived from a point process equation and utilizes n1 and n2.

Abstract: A portable modular diagnostic medical device. The medical device is based on a portable multipurpose computerized platform, such as those designed primarily for playing video games. A medical component such as a cartridge is removably connected to the platform, and has specialized circuitry specific to a predetermined diagnostic medical function, such as the monitoring of electrocardiograms (ECGs). Different medical functionality is provided for by removably connecting different components into the portable multipurpose computerized platform.