986results about "Direction/deviation determining electromagnetic systems" patented technology

A video surveillance system comprises a sensing unit capable of being operated in a first mode and second mode and a computer system coupled to the sensing unit. The computer system is adapted to receive and process image data from the sensing unit, to detect and track targets, and to determine whether the sensing unit operates in the first mode or in the second mode based on the detection and tracking of targets.

A surveillance system and method for the automatic detection of potential alarm situation via a recorded surveillance content analysis and for the management of the detected unattended object situation. The system and method are operative in capturing surveillance content, analyzing the captured content and providing in real time a set of alarm messages to a set of diverse devices. The system provides event based debriefing according to captured objects captured by one or more cameras covering different scenes. The invention is implemented in the context of unattended objects (such as luggage, vehicles or persons), parking or driving in restricted zones, controlling access of persons into restricted zones, preventing loss of objects such as luggage or persons and counting of persons.

An optical improvement for angular position sensors, which may be used to determine the spatial coordinates of a small source of light (or other energy) in a 3-dimensional volume. Such sensors normally include a linear photosensitive image detector such as a photodiode array or a charge-coupled device (CCD). An irregular pattern of parallel slits is described which increases the amount of light gathered while avoiding the undesirable characteristics of lens optics for this application. One optimal type of irregular pattern is the uniformly redundant array. A mathematical correlation function together with a polynomial interpolation function can determine the displacement of the image on the detector and thereby the location of the source relative to one angular dimension. Given the locations and orientations of several sensors in a 3-dimensional coordinate system and given the angles measured by each, the location of the point source can be computed.

To calibrate a tracking system, a computing device receives positional data of a tracked object from an optical sensor as the object is pointed approximately toward the optical sensor. The computing device computes a first angle of the object with respect to an optical axis of the optical sensor using the received positional data. The computing device receives inertial data corresponding to the object, wherein a second angle of the object with respect to a plane normal to gravity can be computed from the inertial data. The computing device determines a pitch of the optical sensor using the first angle and the second angle.

A system and method for imaging target detection includes scanning a target area to produce an image of the target area and discriminating a target by identifying image pixels of similar intensity levels, grouping contiguous pixels with similar intensity levels into regions, calculating a set of features for each region and qualifying regions as possible targets in response to the features; discriminating the background by identifying image pixels of similar intensity levels, grouping contiguous pixels of similar intensity levels into regions, calculating a set of features for each background region and qualifying background regions as terrain characteristics in response to the features and analyzing the qualified terrain characteristics and qualified target candidates to determine and prioritize targets.

An apparatus and method for the analysis of a sequence of captured images covering a scene for detecting and tracking of moving and static objects (86) and for matching (88) the patterns of object behavior in the captured images to object behavior in predetermined scenarios.

Simultaneous tracking of multiple objects in a sequence of video frames captured by multiple cameras may be accomplished by extracting a foreground elements from a background in a frame, segmenting objects from the foreground surface, tracking objects within the frame, globally tracking positions of objects over time across multiple frames, fusing track data of objects obtained from multiple cameras to infer object positions, and resolving conflicts to estimate most likely object positions over time. Embodiments of the present invention improve substantially over existing trackers by including a technique for extraction of the region of interest that corresponds to a playing field, a technique for segmenting players from the field under varying illuminations, a template matching criteria that does not rely on specific shapes or color coherency of objects but on connected component properties, and techniques for reasoning about occlusions and consolidating tracking data from multiple cameras.

Pan, tilt and zoom sensors are coupled to a broadcast camera in order to determine the field of view of the broadcast camera and to make a rough estimate of a target's location in the broadcast camera's field of view. Pattern recognition techniques can be used to determine the exact location of the target in the broadcast camera's field of view. If a preselected target is at least partially within the field of view of the broadcast camera, all or part of the target's image is enhanced. The enhancements include replacing the target image with a second image, overlaying the target image or highlighting the target image. Examples of a target include a billboard, a portion of a playing field or another location at a live event. The enhancements made to the target's image can be seen by the television viewer but are not visible to persons at the live event.

A system (100) for providing an integrated multi-sensor detection and countermeasure against commercial unmanned aerial systems/vehicles (44) and includes a detecting element (103, 104, 105), a tracking element (103,104, 105) an identification element (103, 104, 105) and an interdiction element (102). The detecting element detects an unmanned aerial vehicle in flight in the region of, or approaching, a property, place, event or very important person. The tracking element determines the exact location of the unmanned aerial vehicle. The identification/classification element utilizing data from the other elements generates the identification and threat assessment of the UAS. The interdiction element, based on automated algorithms can either direct the unmanned aerial vehicle away from the property, place, event or very important person in a non-destructive manner, or can disable the unmanned aerial vehicle in a destructive manner. The interdiction process may be over ridden by intervention by a System Operator/HiL.

Image templates are extracted from video images in real-time and stored in memory. Templates are selected on the basis of their ability to provide useful positional data and compared with regions of subsequent images to find the position giving the best match. From the position data a transform model is calculated. The transform model tracks the background motion in the current image to accurately determine the motion and attitude of the camera recording the current image. The transform model is confirmed by examining pre-defined image templates. Transform model data and camera sensor data are then used to insert images into the live video broadcast at the desired location in the correct perspective. Stored templates are periodically updated to purge those that no longer give valid or significant positional data. New templates extracted from recent images are used to replace the discarded templates.

A patterned mask is located at a distance from a linear detector array. A point radiating source illuminates the aperture to cast an image onto the array. A computer is employed to identify frequencies in the frequency domain to determine the image scale and shift along the detector array axis. Determination of the magnification of the aperture image is made employing frequency domain techniques, the aperture pattern being re-scaled to match that of the actual image, so that determination of pattern shift can be made. A first embodiment of the present invention has two variations, one of which employs the use of multiple single frequency components and phase methodology, the second of which uses multiple single frequency components as well as a variable frequency component. In a second embodiment, a composite image is also used except that only one single frequency component is used in addition to a non-periodic function.

The present invention relates to a collision avoidance warning system for an aircraft (1). The system comprises a light source (8, 9), sensors (10, 11, 12) mounted on the aircraft (1) and processing means for determining the dimensions and location of an object (15) relative to the aircraft (1) so as to determine whether a collision alert is to be given. The present invention is particularly suited to providing collision alert warnings on the ground, such as when the aircraft (1) is taxiing and manoeuvring on runways and in aircraft hangars.

The present invention is in general related to target type estimation in target tracking systems. The invention enables a low complexity estimation of target type, using, e.g. ESM sensor data, by the introduction of an ambiguity restoring procedure in certain likelihood calculations. The invention further enables the systematic use of target type probability information in the calculation of strobe track crosses and their associated quality which is particularly useful for deghosting purposes. Methods for utilisation of target type probability information in the processes of strobe tracking, association, track quality evaluation and multiple hypothesis tracking are also disclosed.

A system for enhancing the television presentation of an object that can highlight the object without obscuring the image of the object. The system receives a first video image, matches a second video image to a portion of the first video image corresponding to the image of the object. Specific pixels within the portion of the first video image which are not part of the image of the object are modified using a pixel from the second video image.

A method of registering reconnaissance image data with map data is disclosed, comprising recording image data at a plurality of positions, together with the role, pitch and height above mean sea level data from an airborne navigation system and imaging system, and recording altitude of a reconnaissance craft from an altimeter; obtaining a difference between said recorded altitude data, and an altitude calculated from said navigation system data and a map data; selecting a difference data having a lowest standard deviation, and at a position of said selected difference data generating a three dimensional surface data using a bi-quadratic equation; generating a bi-quadratic surface of each of a plurality of positions for which data is recorded; generating a difference data between said bi-quadratic surface data, and height data obtained from said map, and minimising an error between bi-quadratic surface data and said height data by translating said position data relative to said map data, until minimum error is achieved; registering said image data with said map data after applying a said translation of said image data.

A stereoscopic optical system images a stereoscopic picture image, a stereoscopic image processing section calculates a three-dimensional distance distribution from the stereoscopic picture image, and an object recognizing section recognizes objects from the distance distribution information to calculate a relative position of the objects with respect to the vehicle. On the other hand, a travelling amount of the vehicle is detected by a steering sensor and a rear wheel rotation sensor. Then, an object positional information calculating section calcuLates a new relative position of the objects based on the relative position information memorized in a memory section and the calculated travelling amount of the vehicle and the memory section memorizes the new positional information. And, a bumping judgment outputting section judges the possibility of bumping against the objects based on the new relative position of the objects with reference to memorized information about the external shape of the vehicle. If it is judged therein that there is a possibility of bumping, the bumping judgment outputting section outputs a warning signal to an indicating section.