Abstract: According to one aspect of the presently disclosed subject there is provided a computerized method for scoring performance of a move of a trainee in a trainee frame input in relation to a move of a trainer in a trainer video wherein the trainer move includes at least one trainer keyframe. The method comprising obtaining a trainee frame input comprising a trainee move, the trainee move comprising a plurality of trainee frames, based on the at least one trainer keyframe, processing the plurality of trainee frames to provide a move performance score, indicative of the performance of the trainee move in relation to the trainer move, with respect to at least one aspect of the performance. In some examples, the aspects can be one of a similarity aspect, a timing aspect, or a motion dynamics aspect or a combination thereof.

Abstract: The presently disclosed subject matter includes a computerized method and system for providing a total score on a motion of a user. More specifically, the proposed technique obtain motion data, process the motion data and provide a total quality score for the motion of the user with respect to a designated target motion.

Abstract: A system, method or computer program product for estimating an absolute 3D location of at least one object x imaged by a single camera, the system including processing circuitry configured for identifying an interaction, at time t, of object x with an object y imaged with said object x by said single camera, typically including logic for determining object y's absolute 3D location at time t, and providing an output indication of object x's absolute location at time t, derived from the 3D location, as known, at time t, of object y.

Abstract: A system, method or computer program product for estimating an absolute 3D location of at least one object x imaged by a single camera, the system including processing circuitry configured for identifying an interaction, at time t, of object x with an object y imaged with said object x by said single camera, typically including logic for determining object y's absolute 3D location at time t, and providing an output indication of object x's absolute location at time t, derived from the 3D location, as known, at time t, of object y.

Abstract: A method which includes obtaining a first sequence of images of a user attempting to reproduce a sequence of poses of a reference user and determining correct performance of the user. For each body part of a plurality of body parts of the user, a spatial orientation of the body part in a referential independent of an orientation of any other body part of the user is compared to the spatial orientation of the reference user. If the comparison does not meet a matching criterion for at least one body part of the user, data representative of a mismatch between the orientation of the body part of the user and the spatial orientation of the reference user is output, thereby enabling the user to correct his pose using a feedback pointing to the body part to be corrected.

Abstract: A computer system, method, and program product for registering sensors, includes an interface to receive a query (Q) related to a specific event for a target system state associated with a specific activity pattern. A decomposer decomposes the query (Q) into semantic expressions (QSe1,QSe2) describing the target system state, and identifies a database entry associated with a semantic expression from the decomposition. A retriever retrieves behavioral data corresponding to the identified database entry, including dependencies between elements that describe the specific activity pattern. The specific activity pattern is associated with multiple activity data structures. A registration component registers a sensor (S1,S3,S4), assigned to the activity data structures.

Abstract: A method for displaying a map location of a camera providing video information, the method comprising: causing presentation on a screen of a display device of a map of a monitored area indicating a determined number of acquisition devices located in the monitored area; receiving via an input device a command to display visual information acquired by the acquisition devices; causing the map on the screen to be partially replaced by a shutter comprising frames amounting to the determined number each of which present the visual information acquired by one of the acquisition devices; performing a gesture indicating a video frame containing the video information; and identifying a camera location on the map, wherein the camera location corresponds to the source of the video information.

Abstract: A method and system of identifying in an image captured by a second camera a target object captured by a first camera is disclosed. The method comprises using image captured by the 1st camera for generating a first set of objects comprising the target object and other objects; classifying each object to generate a reference group of attribute values characterizing the objects; using image captured by the 2nd camera for generating second sets of objects; classifying each object in each second set to generate, for each second set, a corresponding group of attribute values characterizing the objects in the corresponding second set; selecting the second set of objects corresponding to the group of attribute values best matching the reference group of attribute values; and identifying the target object in the selected second set of objects in accordance with a position of the target object in the first set of objects.

Abstract: A method, system and non-transitory computer readable storage medium, the computer-implemented method comprising: receiving a first image captured by a first capture device, the first images depicting first objects; obtaining a kinematic value for each of the first objects; receiving a second image captured by a second capture device, the second images depicting second objects; and analyzing the first and second images and the kinematic value, to determine transition parameters related to transition of objects from a first field of view of the first capture device to a second field of view of the second capture device, wherein the first capture device and the second capture device are calibrated, wherein a gap exists between the first and the second fields of view, and wherein said transition parameters are usable for associating further objects captured by the first capture device with corresponding objects captured by the second capture device.

Abstract: A method for automatically matching video streams from two cameras of a camera network includes obtaining a video stream of frames that are acquired by each of the cameras. Each video stream includes images of moving objects. A time signature for each of the video streams is calculated. Each time signature is indicative of a time at which an image of one the objects is located at a predetermined part of the frame. A temporal offset of one of the signatures relative to the other signature is calculated such that, when applied to one of the signatures, a correspondence between the signatures is maximized. The temporal offset is applicable to video streams that are acquired by the two cameras to determine if a moving object that is imaged by one of the cameras is identical to a moving object that is imaged by the other camera.

Abstract: A method for automatic spatial calibration of a network of cameras along a road includes, processing a frame that is obtained from each camera of the network to automatically identify an image of a pattern of road markings that have a known spatial relationship to one another. The identified images are used to calculate a position of each camera relative to the pattern of road markings that is imaged by that camera. Geographical information is applied to calculate an absolute position of a field of view of each camera. A global optimization is applied to adjust the absolute position of the field of view of each camera of the camera network relative to an absolute position of the fields of view of other cameras of the camera network.

Abstract: A client system for monitoring elders in a residential setting, the client system comprising communication apparatus operative for sending real time localization data and elder body motion data toward at least one server configured for performing at least one elder-supporting backend service responsive to at least one of THE real time localization data and elder body motion data; and at least one real-time location subsystem including: at least one wearable (“tag”) including at least one ultra-wide-band (UWB) communication transceiver and an accelerometer operative for sensing at least one body motion of an elder wearing the tag thereby to provide the elder body motion data; and at least one anchor device for deployment in an elder's domicile including an ultra-wide-band (UWB) communication transceiver operative for real time sub-meter localization of the tag, thereby to provide the real time localization data.

Abstract: A computer implemented method, computer program product and computer system for sensor selection. The computer system can run the computer program to execute the method by dividing a two-dimensional area into cells, wherein the cells are arranged in a grid; receiving a selection trigger for a subset of cells of the grid, wherein at least one cell of the subset has at least one sensor and the at least one cell has a sampling frequency associated; determining a set of constraints for the at least one sensor; selecting the at least one sensor if the at least one sensor complies with the set of constraints; and calculating a sampling frequency of the at least one sensor dependent on the sampling frequency of the at least one cell.

Abstract: An object-recognition method and system employing Bayesian fusion algorithm to reiteratively improve probability of correspondence between captured object images and database object images by fusing probability data associated with each of plurality of object image captures.

Abstract: In queues, persons—or objects (120) in general—move inside an area (110) to a target (112), such as to a counter. The queue has movement characteristics in terms of speed, waiting times and queue form. A computer-implemented approach obtains the characteristics by receiving a sequence (140) of image frames (141, 142, 143, 49) that represent the surveillance area (110); calculating flow vectors that indicate an optical displacement for the sequence (140) of image frames (141/142, 142/143); extending one of the flow vectors as lead vector in extension directions; determining intermediate vectors by using flow vectors along the extension directions; and selecting one the intermediate vectors as the new lead vector. The steps are repeated to concatenate the lead vectors to the movement characteristics (190).

Abstract: A computer (100) recognizes an event pattern (ABC) for objects (14, 24, 34, 44) that belong to an event domain (150). The computer activates a pattern query (110) that corresponds to the event pattern (ABC) and that has a least one state (S4) with an distinctive transition probability to a final state. The probability is derived from object observations in the event domain (150). The computer continuously receives event representations (*A14, *A24, *A44, *D44, . . . ) that are related to the objects (14, 24, 34, 44) and allocates the event representations to a first processing resource (101) to initiate instances (1.14, 1.24, 1.34, 1.44) of the query (110). It monitors the instances and, upon receiving event representations that cause the instances to reach the state (S4) with the distinct transition probability, it shifts the instances to a second processing resource (102).

Abstract: A computer implemented method, computer program product, and computer system for determining camera calibration data. The computer system receives geo-positional data of a moving object, wherein the geo-positional data is associated with an indicator (112). The computer system receives further a sequence of frames (140) from the at least one camera (150), wherein at least one frame has a picture of the moving object (118) with a structure and with an encoded version of the indicator which are optically recognizable. The indicator associated with the at least one frame is extracted by decoding (170) the optically encoded version of the indicator of the at least one frame. The geo-positional data of the moving object which is in the picture of the at least one frame is obtained by matching (172) the indicator associated with the geo-positional data of the moving object and the decoded indicator associated with the at least one frame.

Abstract: The invention provides methods and systems for identifying objects transitioning boundaries defined around geographic areas using sensors. Objects that are vehicles are detected by license plate reader sensors. Boundaries defining geographic zones and sub-zones are pre-defined graphically by reference to a map or computed based on locations of sensors located within the geographic region. When sensor coverage is incomplete, soft zones are computed and defined. Soft zones are computed using probabilistic models, and are developed to minimize the number of escape paths from any sub-zone around sensor locations. Using these probabilistic models, additional sensors can be optimally placed for further enhancement of the detection system.

Abstract: A target object captured by a first camera is identified in images captured by a second camera. A reference platoon comprising the target object and other objects is generated using first camera images. A reference group characterizing the objects in the reference platoon is generated by running a first set of trained classifiers over the reference platoon, the first set of trained classifiers trained to characterize objects captured by the first camera. Candidate platoons are generated using second camera images. Candidate groups characterizing objects in the candidate platoons are obtained by running an independently trained second set of classifiers over the candidate platoons, the second set characterizing objects captured by the second camera. Candidate groups are compared to the reference group, and a best matching candidate platoon is selected. The target object is identified in the selected candidate platoon based on the object's position in the reference platoon.

Abstract: A computer implemented method, computer program product, server and clients for preserving privacy and accountability. The server receives from a first client computer pseudonymous, encrypted data and stores the pseudonymous, encrypted data. The -server further receives receiving at from a second client computer a data request for the pseudonymous, encrypted data and provides the pseudonymous, encrypted data to the second client computer in response to the data request. The server receives from the second client computer a signed key request for at least one key, wherein the at least one key is configured to decrypt the pseudonymous, encrypted data and wherein the signed key request comprises a public key of the second client computer. The server receives from the first client computer the at least one key, wherein the at least one key is encrypted with the public key of the second client computer and provides the at least one encrypted key to the second client computer in response to the signed key request.