9801results about "Biometric pattern recognition" patented technology

Three-dimensional position information is used to identify the gesture created by a body part of interest. At one or more instances of an interval, the posture of a body part is recognized, based on the shape of the body part and its position and orientation. The posture of the body part over each of the one or more instances in the interval are recognized as a combined gesture. The gesture is classified for determining an input into a related electronic device.

A camera system comprises an image capturing device, object detection module, object tracking module, and match classifier. The object detection module receives image data and detects objects appearing in one or more of the images. The object tracking module temporally associates instances of a first object detected in a first group of the images. The first object has a first signature representing features of the first object. The match classifier matches object instances by analyzing data derived from the first signature of the first object and a second signature of a second object detected in a second image. The second signature represents features of the second object derived from the second image. The match classifier determine whether the second signature matches the first signature. A training process automatically configures the match classifier using a set of possible object features.

A personal biometric key system uses a personal identity code transmitted to a universal biometric electronic lock via a communication system and using a clock or GPS chip and allows a person to select one or more personal biometric methods and to be personally responsible for the maintenance of the sensor and its availability. The selection can be tailored to the particular needs and circumstances of the person using the key. The person can also change the personal biometric sensor when needs and circumstances change. The organization being accessed by the key can set minimum levels for what type sensor data they will accept and for level of services they will provide for a given type sensor.

Systems and methods for virtual world simulations of the real-world or emulate real-life or real-life activities in virtual world or real life simulator or generating a virtual world based on real environment: host, at a server, a virtual world geography or environment that correspondences the real world geography or environment as a result, as the user continuously moves about or navigates in a range of coordinates in the real world, the user also continuously moves about in a range of coordinates in the real world map or virtual world; generate and access, by the server, a first avatar or representation, that is associated with a first user or entity in the virtual world; monitor, track and store, by the server, plurality types of data associated with user's real life or real life activities, actions, transactions, participated or participating events, current or past locations, checked-in places, participations, expressions, reactions, relations, connections, status, behaviours, sharing, communications, collaborations, interactions with various types of entities in the real world; receive, by the server, first data associated with a mobile device of the first user related to the first activity from the first geo-location co-ordinates or place; determine, by the server, one or more real world activities of the first user based on the first data; generate, record, simulate and update, by the server, virtual world based on said stored data, wherein updating a first avatar, that is associated with the first user or entity, in the virtual world; causing, by the server, a first avatar associated with the first user or entity, to engage in one or more virtual activities in the virtual world, that are at least one of the same as or sufficiently similar to or substantially similar to the determined one or more real world activities, by generating, recording, simulating, updating and displaying, by a simulation engine, simulation or a graphic user interface that presents a user a simulation of said real-life activities; and display in the virtual world, by the server, said real world activity or interacted entity or location or place or GPS co-ordinates related or associated or one or more types of user generated or provided or shared or identified contextual one or more types of contents, media, data and metadata from one or more sources including server, providers, contacts of user and users of network and external sources, databases, servers, networks, devices, websites and applications, wherein virtual world geography correspondences the real world geography. In an embodiment receiving from a user, a privacy settings, instructing to limit viewing of or sharing of said generated simulation of user's real world life or user's real world life activities to selected one or more contacts, followers, all or one or more criteria or filters specific users of network or make it as private.

A biometrics security method and apparatus are disclosed that restrict the ability of a user to access a device or facility using a portion of biometric data to validate the user's identity. Upon a user request to access a secure device or facility, the central biometric security system initially sends a first request for a specific sample of a portion of the user's biometric information. The specific sample may be identified, for example, using a set of image coordinates. A second request is also sent to retrieve the biometric prototype from a database of registered users. The central biometric security system then compares the user biometrics portion with the corresponding biometrics prototype portions. The user receives access to the requested device if the user biometrics portion(s) matches the corresponding biometrics prototype portions. In one variation, the biometric security system transmits a security agent to the user's computing device upon a user request to access a remote device. The security agent serves to extract user biometric portions in accordance with the sampling request from the central biometric security system. In another variation, a local recognition is performed before a remote recognition to reduce the risk of a failed server side recognition due to a poor biometrics feature.

The invention is a new method and apparatus that can be used to detect, recognize, and analyze people or other objects in security checkpoints, public-places, parking lots, or in similar environments under surveillance to detect the presence of certain objects of interests (e.g., people), and to identify their activities for security and other purposes in real-time. The system can detect a wide range of activities for different applications. The method detects any new object introduced into a known environment and then classifies the object regions to human body parts or to other non-rigid and rigid objects. By comparing the detected objects with the graphs from a database in the system, the methodology is able to identify object parts and to decide on the presence of the object of interest (human, bag, dog, etc.) in video sequences. The system tracks the movement of different object parts in order to combine them at a later stage to high-level semantics. For example, the motion pattern of each human body part is compared to the motion pattern of the known activities. The recognized movements of the body parts are combined by a classifier to recognize the overall activity of the human body.

A method of generating an avatar for a user may include receiving image data of a user from a camera, generating feature vectors for a plurality of features of a user, associating the user with a likely user group selected from a number of defined user groups based on the feature vectors, and assigning an avatar based on the associated user group.

A method and system for performing gesture recognition of a vehicle occupant employing a time of flight (TOF) sensor and a computing system in a vehicle. An embodiment of the method of the invention includes the steps of receiving one or more raw frames from the TOF sensor, performing clustering to locate one or more body part clusters of the vehicle occupant, locating the palm cluster of the vehicle occupant, calculating the location of the tip of the hand of the vehicle occupant, determining whether the hand has performed a dynamic or a static gesture, retrieving a command corresponding to one of the determined static or dynamic gestures, and executing the command.

A vehicle environment monitoring device identifies objects from an image taken by an infrared camera. Object extraction from images is performed in accordance with the state of the environment as determined by measurements extracted from the images as follows: N1 binarized objects are extracted from a single frame. Height of a grayscale objects corresponding to one of the binarized objects are calculated. If a ratio of the number of binarized objects C, where the absolute value of the height difference is less than the predetermined value ΔH, to the total number N1 of binarized objects, is greater than a predetermined value X1, the image frame is determined to be rainfall-affected. If the ratio is less than the predetermined value X1, the image frame is determined to be a normal frame. A warning is provided if it is determined that the object is a pedestrian and if a collision is likely.

In accordance with various embodiments of the disclosed subject matter, a method and a system for vision-centric deep-learning-based road situation analysis are provided. The method can include: receiving real-time traffic environment visual input from a camera; determining, using a ROLO engine, at least one initial region of interest from the real-time traffic environment visual input by using a CNN training method; verifying the at least one initial region of interest to determine if a detected object in the at least one initial region of interest is a candidate object to be tracked; using LSTMs to track the detected object based on the real-time traffic environment visual input, and predicting a future status of the detected object by using the CNN training method; and determining if a warning signal is to be presented to a driver of a vehicle based on the predicted future status of the detected object.

The invention provides a computer-implemented method for determining whether a database contains any images that substantially match at least one image provided of an individual. A probe data set is received, the comprising first and second biometric templates associated with the individual, the first biometric template associated with a different type of biometric than the second type of biometric template. A database of biometric templates is searched using the first biometric template to retrieve a first results set. A first predetermined portion of the first results set is selected. The first predetermined portion of the first results set is searched using the second biometric template to retrieve a second results set. A second predetermined portion of the second results set is selected. The second predetermined portion of the second results is provided for comparison with the image provided of the individual.

The present invention is directed to systems and methods that provide enhanced eye safety for image projection systems. In particular, the instant invention provides enhanced eye safety for long throw laser projection systems.

The present invention detects a moving object by generating the distance information of the moving object, detecting the object motion, determining the object distance, detecting the object image area and the object contour from the video image that includes the object image and contour, and provides a moving object detection apparatus to carry out such detection as well as detecting a contour of the specific moving object by detecting the center of the moving object in high precision.

A method and system is provided to provide enrollment of biometric data from individuals without the need for the enrollees to travel to a central location. The system and method provides for optionally detecting multiple types of biometric data, for example, fingerprints, facial scan, visual scan, iris scan, voice scan, or the like, to be captured at the point of enrollee use. During the biometric capture process, the biometric enrollment device monitors and establishes the identity of the enrollee and measures the quality of the biometric input as it occurs. If unacceptable quality is detected, then repeated biometric scans may be necessary, but is done at time of enrollment avoiding any need to send inaccurate information back to a service institution. When the enrollment process completes, the biometric data is encrypted, time stamped and either mailed back to the service institution or is transmitted back. The biometric device may remain with the user for subsequent use as an identification sensor which may authenticate a user with stored biometric information to authenticate a user's identity for a transaction or a request to access a service or equipment. The biometric enrollment device may also be embodied with another piece of equipment to authenticate use of that equipment.

There is provided an apparatus, method, and program storage device for representing biometrics. The apparatus includes a biometric feature extractor and a transformer. The biometric feature extractor is for extracting features corresponding to a biometric depicted in an image, and for defining one or more sets of one or more geometric shapes by one or more of the features. Each of the one or more geometric shapes has one or more geometric features that is invariant with respect to a first set of transforms applied to at least a portion of the image. The transformer is for applying the first set of transforms to the at least a portion of the image to obtain one or more feature representations that include one or more of the one or more geometric features, and for applying a second set of transforms to the one or more feature representations to obtain one or more transformed feature representations.

The evolution of a skin condition over time can be useful in its assessment. In an illustrative arrangement, a user captures skin images at different times, using a smartphone. The images are co-registered, color-corrected, and presented to the user (or a clinician) for review, e.g., in a temporal sequence, or as one image presented as a ghosted overlay atop another. Image registration can employ nevi, hair follicles, wrinkles, pores, and pigmented regions as keypoints. With some imaging spectra, keypoints from below the outermost layer of skin can be used. Hair may be removed for image registration, and restored for image review. Transformations in addition to rotation and affine transforms can be employed. Diagnostic correlations with reference image sequences can be made, employing machine learning in some instances. A great variety of other features and arrangements are also detailed.

An electronic device performs functionality adjustments based on a determined attention level of a user of the device. In some embodiments, the device automatically enters a sleep mode upon determining that the user has fallen asleep. The device may automatically modify functionality of the device such that disturbances to the user is minimized or power consumption is reduced. For example, the device may lower the volume of a ring tone or deactivate a communication channel. In some instances, the device may determine that the user is half-awake or paying an intermediate level of attention and activate an intermediate mode where at least some functionality is modified or adjusted. A device subsequently determining that the user is fully awake or actively engaged with the device causes the device to return to a standard mode of operation, where functionality of the device is adjusted to one appropriate for the user's attention level.

A multimodal biometric identification or authentication system includes a plurality of biometric clients. Each of the biometric clients may include devices for capturing biometric images of a plurality of types. The system includes a router in communication with the biometric clients. The router receives biometric images from, and returns biometric scores or results to, the biometric clients. The system includes a plurality of biometric matching engines in communication with the router. Each biometric matching engine includes multiple biometric processors. Each biometric processor is adapted to process biometric data of a particular type. The biometric matching engines transmit and receive biometric data to and from the router.

A hand recognition system.

A wearable device is provided that is used while being worn on a body of a user. The wearable device includes a biometric-information authentication portion that acquires biometric information from the user for biometric authentication. The wearable device acquires biometric information from a portion in contact with or in the vicinity of the user's body to perform the biometric authentication without requesting the user to operate for the biometric authentication.

Biometric parameters acquired from human forces, voices, fingerprints, and irises are used for user authentication and access control. Because the biometric parameters are continuous and vary from one reading to the next, syndrome codes are applied to determine biometric syndrome vectors. The biometric syndrome vectors can be stored securely while tolerating an inherent variability of biometric data. The stored biometric syndrome vector is decoded during user authentication using biometric parameters acquired at that time. The syndrome codes can also be used to encrypt and decrypt data.