Abstract:
The learning rate used for updating the weights of a self-ordering feature map is determined by a process that injects some type of perturbation into the value so that it is not simply monotonically decreased with each training epoch. For example, the learning rate may be generated according to a pseudorandom process. The result is faster convergence of the synaptic weights.
Abstract:
Disclosed is a method and system for controlling access to a television set using a remote control unit having a finger verification means. The method includes the steps of: placing at least one finger on the remote control unit for scanning; obtaining fingerprint data indicative of the scanned finger; comparing the fingerprint data to predetermined reference data to establish a fingerprint match; and, if a match is established, providing access to a number of channels associated with the scanned finger. The system includes a fingerprint reader for generating fingerprint data; a processor programmed to prompt the user to enter fingerprint data; and, a fingerprint recognition means for verifying that the user is an authorized user of the remote control apparatus.
Abstract:
System and method for displaying a driving scene to a driver of an automobile. The system comprises at least one camera having a field of view and facing in the forward direction of the automobile. The camera captures images of the driving scene, the images comprised of pixels of the field of view in front of the automobile. A control unit receives the images from the camera and applies a salt and pepper noise filtering to the pixels comprising the received images. The filtering improves the quality of the image of the driving scene received from the camera when degraded by a weather condition. A display receives the images from the control unit after application of the filtering operation and displays the images of the driving scene to the driver.
Abstract:
A method and apparatus are disclosed for monitoring a location using vision-based technologies and to automatically trigger the activation of a child safety feature or an alarm when a child is detected. One or more image capture devices are focused on a given location. The captured images are processed to identify the presence of a child and to initiate an appropriate response, such as sending assistance, activating a child safety feature or triggering an alarm. A number of rules can be utilized to define various child safety events. Each rule contains one or more conditions that must be satisfied in order for the rule to be triggered, and, optionally, a corresponding action-item that should be performed when the rule is satisfied, such as sending assistance, activating a child safety feature or triggering an alarm.
Abstract:
Linear method for performing head motion estimation from facial feature data, the method comprising the steps of: obtaining first facial image and detecting a head in the first image; detecting position of four points P of said first facial image where Pnullnullp1, p2, p3, p4null, and pknull(xk, yk); obtaining second facial image and detecting a head in the second image; detecting position of four points Pnull of the second facial image where Pnullnullnullp1null, p2null, p3null, p4nullnull and pknullnull(xknull, yknull); and, determining the motion of the head represented by a rotation matrix R and translation vector T using the points P and Pnull. The head motion estimation is governed according to an equation: PinullnullRPinullT, where 1 R = [ r 1 T r 2 T r 3 T ] = [ r ij ] 3 null 3 and TnullnullT1 T2 T3nullT represents camera rotation and translation respectively.
Abstract:
A method and apparatus are disclosed for modeling patterns of behavior of humans or other animate objects and detecting a violation of a repetitive pattern of behavior. The behavior of one or more persons is observed over time and features of the behavior are recorded in a multi-dimensional space. Over time, the multi-dimensional data provides an indication of patterns of human behavior. Activities that are repetitive in terms of time, location and activity, such as sleeping and eating, would appear as a Gaussian distribution or cluster in the multi-dimensional data. Probability distribution functions can be analyzed using known Gaussian or clustering techniques to identify repetitive patterns of behavior and characteristics thereof, such as a mean and variance. Deviations from repetitive patterns of behavior can be detected and an alarm can be triggered, if appropriate.
Abstract:
A method and system for the automatic detection of a sleeping person and for adjusting electrical power supplied to a number of electronic devices; it includes a unit for observing the behavior of a person in a predetermined area under surveillance and a unit for analyzing output data from the observing unit to determine whether the observed behavior is associated with predefined sleeping behaviors. Upon recognition that the observed behavior indicates the sleeping state of a person, the electrical power supplied to the plurality of electronic devices is selectively adjusted according to predetermined criteria.
Abstract:
A method and apparatus are disclosed for monitoring a retail location using vision-based technologies to recognize predefined fraudulent events. Captured images are processed to identify one or more predefined fraudulent events and to initiate an appropriate response, such as sending notice to an employee for further investigation or recording the event for evidentiary purposes. A number of rules define various fraudulent events. For example, rules can be devised to detect when a patron is wearing stolen clothing out of the changing room, or when a patron is fraudulently attempting to return merchandise without a receipt. Each rule contains one or more conditions that must be satisfied and a corresponding action-item that should be performed when the rule is satisfied. At least one of the conditions for each rule identifies a feature that must be detected in an image using vision-based techniques. An event monitoring process is also disclosed that analyzes the captured images to detect one or more fraudulent events defined by the event rules.
Abstract:
Provided is an apparatus and method for notifying the completion of a commercial in a channel selected by a viewer. The system includes a segment detector coupled to receive incoming channel signals from a plurality of sources and for determining the beginning and end of commercials within a particular channel; at least one tuner for receiving the incoming channel signals and for decoding them for display in a television unit; and, a controller for notifying the completion of commercials from the channel designated by the viewer. Accordingly, when commercials are ended in one channel while viewing another channel, the viewer is notified of such completion and has an option to switch back to the desired channel.
Abstract:
A telephone user who is at a first telephone station and is placed on hold at a second station is prevented from listening to an objectionable audio signal while a call is in process between the user and the second telephone station. The objectionable audio signal is detected while the call is in process and the user is prevented from hearing the objectionable audio signal while the objectionable audio signal is being detected. In response to detection of the end of the objectionable audio signal, the user is coupled to the second telephone station.