713 results about "Stationary object" patented technology

A system for obtaining revenue through the display of advertising on fixed or moving objects id disclosed. Such objects receive, store, poll and extract data to present content based on the time of day, locations, and relative movements in a specific environment, where data and information stored in moving or mobile objects within that environment can be transmitted between those objects or to stationary objects, where it is then used to enable and control such displays for which the owners of those objects are then compensated. The system enables the display of hyper-relevant ad content with synchronized remote audio, personal messaging and public service alerts on surrounding objects and provides for the real-time logging and later downloading of data to confirm communications and content deliveries between objects, track and measure consumer engagement, verify consumer's direct responses to ad viewings with accountability systems.

A method and system for detecting and tracking objects near a vehicle using a three dimensional laser rangefinder. The method receives points from the laser rangefinder, where the points represent locations in space where the rangefinder senses that some object exists. An algorithm first estimates the location of a ground plane, based on a previous ground plane location, data from onboard sensors, and an eigenvector calculation applied to the point data. Next, a plan view occupancy map and elevation map are computed for stationary objects, based on point data in relation to the ground plane. Finally, dynamic objects are detected and tracked, sensing objects which are moving, such as other vehicles, pedestrians, and animals. The output of the method is a set of stationary and dynamic objects, including their shape, range, and velocity. This output can be used by downstream applications.

Method for transmitting a warning signal to a driver of a driven vehicle regarding an impending collision with a moving and/or stationary object in the vicinity of the driven vehicle. The method comprises the following steps of providing the driven vehicle with means for obtaining updated data regarding, position, velocity vector and predicted moving path of the objects; selecting a series of one or more time horizons having decreasing or increasing duration; for the longest of the selected time horizons: generating a linear velocity object (LVO) and/or non-linear velocity object (NLVO) of each of the objects; selecting a sampling time interval Δt, during which an LVO and/or NLVO is generated; determining a range of feasible velocity vector changes for the driven vehicle that are attainable within a performance time interval ΔT; repeatedly providing the driver, after each Δt, with information regarding feasible velocity vector changes for the performance time interval; sensing, estimating or assuming dynamic changes parameters representing the movement of the driven vehicle within the performance time interval, and whenever required, generating a warning signal with an escalating severity level that reflects the relative imminence of collision with the objects and that corresponds to the longest time horizon; repeating the steps above, while each time generating an updated LVO and/or NLVO for a subsequent sampling time interval, until reaching another selected time horizon which is shorter than a previously selected time horizon and another selected time horizon, until collision is unavoidable.

Organ manipulation devices for atraumatically grasping the surface of an organ and repositioning the organ to allow access to a location on the organ that would otherwise be substantially inaccessible. Methods of accessing a beating heart, retracting the heart using an organ manipulation apparatus, and stabilizing a surgical target area with a stabilizer. Both the organ manipulator and stabilizer are fixed to a stationary object which may be a sternal retractor. A system for performing beating heart coronary artery bypass grafting includes a sternal retractor, organ manipulator and stabilizer.

An “automated video editor” (AVE) automatically processes one or more input videos to create an edited video stream with little or no user interaction. The AVE produces cinematic effects such as cross-cuts, zooms, pans, insets, 3-D effects, etc., by applying a combination of cinematic rules, object recognition techniques, and digital editing of the input video. Consequently, the AVE is capable of using a simple video taken with a fixed camera to automatically simulate cinematic editing effects that would normally require multiple cameras and/or professional editing. The AVE first defines a list of scenes in the video and generates a rank-ordered list of candidate shots for each scene. Each frame of each scene is then analyzed or “parsed” using object detection techniques (“detectors”) for isolating unique objects (faces, moving/stationary objects, etc.) in the scene. Shots are then automatically selected for each scene and used to construct the edited video stream.

3d textured objects are provided for virtual viewpoint animations. In one aspect, an image of an event is obtained from a camera and an object in the image is automatically detected. For example, the event may be a sports event and the object may be a stationary object which is detected based on a known location, color and shape. A 3d model of the object is combined with a textured 3d model of the event to depict a virtual viewpoint which differs from a viewpoint of the camera. The textured 3d model of the event has texture applied from an image of the event, while the 3d model of the object does not have such texture applied, in one approach. In another aspect, an object in the image such as a participant in a sporting event is represented in the virtual viewpoint by a textured 3d kinematics model.

A method, video control arrangement and a computer program product are provided for determining objects present in a process control system. The video control arrangement includes an object determining unit configured to order a group of video cameras, including at least one video camera, to repeatedly scan an area in order to obtain a set of video streams, determine if there are any new objects associated with the process control system in the area through detecting object identifiers of objects in the video streams, determine if a detected new object is stationary or mobile, report the detected object to a process control server and register stationary objects as process control objects.

A geophysics-based method for determining the position of a stationary earth object uses the periodic changes in the gravity vector of the earth caused by the sun- and moon-orbits. Because the local gravity field is highly irregular over a global scale, a model of local tidal accelerations can be compared to actual accelerometer measurements to determine the latitude and longitude of the stationary object.

An example of recognition of the shape of a road where a vehicle travels is provided. An object type as to whether an object is a moving or stationary object is determined according to a relative speed of the object and a speed of the vehicle. Object-unit data effective for recognizing a road shape is extracted according to the determination. The object-unit data is used for forming data of a roadside object group, based on which a road edge is recognized. A series of the processes is repeatedly performed at a predetermined cycle. After the extraction process, a data addition process is performed to add object-unit data obtained in the extraction process of the previous cycle to object-unit data obtained in the extraction process of the present cycle. In a recognition process, a road edge is recognized according to the object-unit data obtained in the data addition process.

A method for determining relevant objects in a vehicle moving on a roadway An assistance function is executed in relation to a position of a relevant object, and the relevant objects are determined on the basis of an image evaluation of images of a surrounding area of the vehicle. The images are detected by way of camera sensors. By way of a radar sensor positions of stationary objects in the surrounding area of the vehicle are determined. A profile of a roadway edge is determined using the positions of the stationary objects and that the image evaluation is carried out in relation to the roadway edge profile determined. A driver assistance system suitable for carrying out the method is also described.

A method and system for determination and mapping the quantity of chromophores having a distinct spectrum attached to moving objects in an spectrally rich environment that may include multiple chromophores attached to stationary objects. An area of inters is imaged at different times and different wavelengths, and the spectral properties of the or more chromophores attached to the moving objects are separated from the stationary spectral properties of the background, followed by spectral analysis of the moving objects to determine their quantity. Application to the retinal vasculature is illustrated, showing the imaging, analyzing and quantifying of the oxygen saturation of retinal blood, resolved for the different vascular compartments—capillaries, arterioles, venules, arteries, and veins. Changes in the structure of the vascular environment are also determined, whether growth of new vessels or the elimination of existing ones, by the generation of path maps based on analysis of differential images taken at a single wavelength of the moving components in the blood flow.

Embodiments of the present invention relate to automated methods and systems for determining a degree of presence of a movable object in a physical space. Video images are used to define a region of interest (1305) in the space and partition the region of interest into an array of sub-regions (1310). Then, first and second spatial-temporal visual features are determined, and metrics are computed (1320), (1340), to characterise whether or not each sub-region contains a moving or stationary object. The metrics are used to generate (1350) an indication of the overall degree of presence within the region of interest.

Video processing to detect a stationary object in a video includes: performing background change detection on the video; performing motion detection on the video; determining stable pixels in the video based on the background change detection; and combining the stable pixels to identify at least one stationary object in the video.

An image processing apparatus for extracting the specified objects has a background image extract unit for extracting a background; a first average background extract unit which extracts an image that includes a plurality of stationary and moving objects each having a speed not higher than a predetermined first speed and also the background; a second average background extract unit which extracts an image that includes the stationary and moving objects each having a speed not higher than a predetermined second speed and also the background; a first difference-calculation processing unit which calculates a difference between an output from the background image extract unit and an output from the first average background extract unit as a first speed image; a second difference-calculation processing unit which calculates a difference value between two outputs from the first and second average background extract units as a second speed image; and a third difference-calculation processing unit which calculates a difference value between an original image and either one of outputs from the first and second average background extract units as a third speed image.

An “automated video editor” (AVE) automatically processes one or more input videos to create an edited video stream with little or no user interaction. The AVE produces cinematic effects such as cross-cuts, zooms, pans, insets, 3-D effects, etc., by applying a combination of cinematic rules, object recognition techniques, and digital editing of the input video. Consequently, the AVE is capable of using a simple video taken with a fixed camera to automatically simulate cinematic editing effects that would normally require multiple cameras and/or professional editing. The AVE first defines a list of scenes in the video and generates a rank-ordered list of candidate shots for each scene. Each frame of each scene is then analyzed or “parsed” using object detection techniques (“detectors”) for isolating unique objects (faces, moving/stationary objects, etc.) in the scene. Shots are then automatically selected for each scene and used to construct the edited video stream.

A photoplethysmographic system and method is provided for filtering a photoplethysmographic (pleth) signal to reduce the effects of noise in the signal. The system and method utilize a combination of frequency, time and/or magnitude information, to identify and separate transient signal components within a pleth signal from repeating signal components within the pleth signal. Typically, signal components of interest repeat over a period that corresponds with a patient's heartbeat. Such periodically repeating signals may be identified as stationary signals/objects within a frequency and time-based analysis. In contrast, motion artifacts or other sources of noise are often isolated (i.e., non-repeating) transient events and may be identified as non-stationary objects in a frequency and time-based analysis. Data associated with identified transient events may be filtered from or otherwise removed from a given signal. In this regard, a pleth signal may be cleansed prior to its use for, e.g., blood analyte determinations.

The invention discloses a bend target identification system and method based on multi-sensor fusion, which mainly aims at a problem of front target detection of a vehicle at the bend of expressway. The lane line is divided into a straight line portion of the near view field and a curve portion of the far view field. For information acquisition of a camera, lane line fitting and tracking at the near view field are completed by using Hough transform and Kalman filtering, and curve fitting at the far view field is completed by using a BP neural network. For information acquisition of radar, information of a static object group is extracted, and curve fitting is performed by using the BP neural network. through space-time alignment, the lane line information acquired by vision and the lane line information acquired by the radar are fused to determine a travelable region of the lane where the vehicle is located, and finally a bend target identification algorithm based on the fusion of the camera and the millimeter wave radar is provided by combining the travelable region and the lane line type so as to realize detection for targets at the bend.

To provide an image capturing apparatus that detects a camera movement accurately and corrects image blurring appropriately. An image capturing apparatus (200) includes: an image sensor unit (103) that captures and outputs an input image (105); an output unit (121) that outputs an image of a framing area (160) of the input image (105); a motion vector calculation unit (106) and a stationary object detection unit (201) that detect motion vectors in an outer-frame area (161) of the input image (105) and derive detection accuracy; an outer-frame area adjustment unit (205) that adjusts the outer-frame area (161) in size so that the detection accuracy meets an outer-frame area change threshold (tr); and a camera movement calculation unit (113) and a framing area modification unit (115) that move the framing area (160) according to motion vectors in the adjusted outer-frame area (161), irrespective of motion vectors in the other area.

An anti-theft device (10) for portable computers having a base casing (12) and a hingeable cover (14). One wall of the base casing (14) is formed with a dedicated slot (16). The device (10) is generally U-shaped, having two legs (20; 22), and a web portion (24). The device (10) comprises a rotatable locking mechanism (26) installed within the web portion (24), drivingly coupled to a T-shaped tip (28) adapted to be inserted into the slot (16) in one position of the mechanism and, by rotating the mechanism by less than 180°, the tip (28) becomes locked within the base casing (12) while the legs (20; 22) extend one (22) underlying the bottom surface of the base casing (12) and the other (20) overlying the top surface of the hingeable cover (14), thus preventing the opening of the cover. A cable is used for securing the device (10) to a stationary object (32).