Louis Tran - San Francisco CA, US Nam Banh - Aliso Viejo CA, US
Assignee:
Image Fidelity, LLC - San Francisco CA
International Classification:
A63F 9/24
US Classification:
463 25
Abstract:
The present invention provides a system and method for monitoring players in a game, extracting player and game operator data, and processing the data. In one embodiment, the present invention captures the relevant actions and/or the results of relevant actions of one or more players and one or more game operators in a game, such as a casino game. The system and methods are flexible in that they do not require special gaming pieces to collect data. Rather, the present invention is calibrated to the particular gaming pieces and environment already in use in the game. The data extracted can be processed and presented to aid in game security, player and game operator progress and history, determining trends, maximizing the integrity and draw of casino games, and a wide variety of other areas. The data is generally retrieved through a series of cameras that capture images of game play from different angles.
A GPS receiver for tracking a GPS signal. The receiver generates a mixed GPS signal by mixing the GPS signal with an oscillator signal, generates a first correlation signal by correlating the mixed GPS signal with a reference signal, and generates a filtered GPS signal from the GPS signal. The receiver also generates a filtered reference signal from the reference signal, generates a second correlation signal by correlating the filtered GPS signal with the filtered reference signal, and a generates a combined correlation signal by combining the first correlation signal with the second correlation signal. The receiver tracks the GPS signal by adjusting the phase of the oscillator signal based on the combined correlation signal.
A GPS receiver for tracking a GPS signal. The receiver generates a mixed GPS signal by mixing the GPS signal with an oscillator signal, generates a first correlation signal by correlating the mixed GPS signal with a reference signal, and generates a filtered GPS signal from the GPS signal. The receiver also generates a filtered reference signal from the reference signal, generates a second correlation signal by correlating the filtered GPS signal with the filtered reference signal, and a generates a combined correlation signal by combining the first correlation signal with the second correlation signal. The receiver tracks the GPS signal by adjusting the phase of the oscillator signal based on the combined correlation signal.
A method and apparatus for reconfiguring a GPS receiver. A device in accordance with the present invention comprises a Radio Frequency (RF) section, the RF section adaptable to receive at least one GPS signal from at least one GPS satellite; and a baseband section, coupled to the RF section, the baseband section comprising at least one correlator, wherein the at least one correlator is adaptable to reacaquire the at least one GPS signal based on a priori knowledge of the at least one GPS signal.
Signal Processing For Autonomous Acquisition Of Objects In Cluttered Background
Thomas K. Lo - Temple City CA Jack M. Sacks - Thousand Oaks CA Nam D. Banh - Canoga Park CA
Assignee:
Hughes Aircraft Company - Los Angeles CA
International Classification:
G06K 920
US Classification:
382 1
Abstract:
A method and apparatus are disclosed for detecting moving objects silhouetted against background clutter. A correlation subsystem 12 is used to register the background of a current image frame (framestore 1) with an image frame taken two time periods earlier (framestore 3). A first difference image is generated by subtracting the registered images, with the first difference image being filtered by low pass filter 34 and thresholded by a three level segmenter 36. A second difference image is likewise generated between the current image frame and another image frame taken at a different subsequent time period. This second difference image is likewise filtered and thresholded. The two difference images are logically ANDed together by gate 39 whose output is connected to a formatter, sorter and feature extractor 40. Track files are generated in CPU 16 for comparing subsequently extracted image features with previously stored extracted features.
Segmentation Method For Use Against Moving Objects
Thomas K. Lo - Temple City CA Jack M. Sacks - Thousand Oaks CA Nam D. Banh - Canoga Park CA
Assignee:
Hughes Aircraft Company - Los Angeles CA
International Classification:
G06K 938 G06K 920 H04N 718 H04N 5225
US Classification:
382 48
Abstract:
Three image frames containing an object of interest and background clutter are taken at successive time intervals and stored in memory. The background of images A, B and C are registered preferably using an area correlator 12. A median filter 16 is used to select a median value from the registered image frames. Then, subtractor 18 serves to subtract the median pixel values from one of the image frames. This difference output is then thresholded to provide a binary signal whose pixel values exceeding the threshold levels are generally associated with the position of the moving object.
Jack M. Sacks - Thousand Oaks CA Thomas K. Lo - Temple City CA Nam D. Banh - Canoga Park CA Charles A. McNary - Calabasas CA Franklin J. Meyers - Canoga Park CA
International Classification:
G06K 900
US Classification:
382103
Abstract:
A process for reducing background clutter of a scene, and isolating an object of interest. The process includes calculating a minimum output from a plurality of appropriately configured anti-median filters representing a minimum difference processor (MDP) filter. In a first embodiment, the MDP filter includes a (5. times. 5) matrix of elements wherein each element has an intensity value representation of the scene. A first anti-median filter array is configured as a horizontal array of 5 pixel elements in which the center element of the matrix is the center element of the horizontal array. A median value of the 5 elements of the horizontal array is determined, and is subtracted from the value of the center element to determine an anti-median value of the horizontal array. The same process is performed for a vertical 5 element anti-median array, and two diagonal 5 element anti-median arrays, all including the center element of the matrix as the center common element of the arrays. The lowest anti-median value is then outputted as the output of the MDP filter.
Moving Target Detection Method Using Two-Frame Subtraction And A Two Quadrant Multiplier
Nam D. Banh - Canoga Park CA Thomas K. Lo - Temple City CA Kelly D. Holthaus - Chatsworth CA Jack M. Sacks - Thousand Oaks CA
Assignee:
Hughes Aircraft Company - Los Angeles CA
International Classification:
G06K 920 G06K 900 H04N 718 G01S 1300
US Classification:
382 48
Abstract:
A method and apparatus for detecting an object of interest against a cluttered background scene. In a first preferred embodiment the sensor tracking the scene is movable on a platform such that each frame of the video representation of the scene is aligned, i. e. , appears at the same place in sensor coordinates. A current video frame of the scene is stored in a first frame storage device (14) and a previous video frame of the scene is stored in a second frame storage device (20). The frames are then subtracted by means of an invertor (24)and a frame adder (28) to remove most of the background clutter. The subtracted image is put through a first leakage reducing filter, preferably a minimum difference processor filter (32). The current video frame in the first frame storage device (14) is put through a second leakage-reducing filter, preferably minimum difference processor filter (36). The outputs of the two processors are applied to a two quadrant multiplier (42) to minimize the remaining background clutter leakage and to isolate the moving object of interest.