779 results about "Object motion" patented technology

A touch screen interface including a display screen, a touch sensor device, and a processor coupled to the display screen and the touch sensor is described. The touch sensor device is adapted to sense object motion in a sensing region that overlaps at least part of the display screen. The processor is adapted to cause a scroll wheel that indicates a scrolling path to appear on the display screen selectively, such as in response to the touch sensor sensing object motion that corresponds to a scrolling initiation gesture. The processor is further adapted to cause scrolling on a display screen selectively, such as in response to the touch sensor sensing subsequent object motion along the scrolling path after the touch sensor has sensed the object motion corresponding to the scrolling initiation gesture.

An orientation and position tracking system in three-dimensional space and over a period of time utilizing multiple inertial and other sensors for determining motion parameters to measure orientation and position of a moveable object. The sensors, for example vibrational and angular velocity sensors, generate signals characterizing the motion of the moveable object. The information is received by a data acquisition system and processed by a microcontroller. The data is then transmitted via wireless communication to an external data reception system (locally based or a global network). The information can then be displayed and presented to the user through a variety of means including audio, visual, and tactile.

In general, the present invention is directed to systems and methods for finding the position and shape of an object using video. The invention includes a system with a video camera coupled to a computer in which the computer is configured to automatically provide object segmentation and identification, object motion tracking (for moving objects), object position classification, and behavior identification. In a preferred embodiment, the present invention may use background subtraction for object identification and tracking, probabilistic approach with expectation-maximization for tracking the motion detection and object classification, and decision tree classification for behavior identification. Thus, the present invention is capable of automatically monitoring a video image to identify, track and classify the actions of various objects and the object's movements within the image. The image may be provided in real time or from storage. The invention is particularly useful for monitoring and classifying animal behavior for testing drugs and genetic mutations, but may be used in any of a number of other surveillance applications.

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.

In order to maximize the dynamic range and depth of field for a depth camera used in a time of flight system, the light source is modulated at a plurality of different frequencies, a plurality of different peak optical powers, a plurality of integration subperiods, a plurality of lens foci, aperture and zoom settings during each camera frame time. The different sets of settings effectively create subrange volumes of interest within a larger aggregate volume of interest, each having their own frequency, peak optical power, lens aperture, lens zoom and lens focus products consistent with the distance, object reflectivity, object motion, field of view, etc. requirements of various ranging applications.

A proximity sensor device and method is provided that facilitates improved system usability. Specifically, the proximity sensor device and method provide the ability for a user to easily cause adjustments in an electronic system using a proximity sensor device as a user interface. For example, it can be used to facilitate user interface navigation, such as scrolling. As another example, it can be used to facilitate value adjustments, such as changing a device parameter. To facilitate adjustment, the embodiments of the present invention provide a proximity sensor device that is adapted to indicate adjustment in a first way responsive to object motion in both of two opposite directions along a path proximate the touch sensor device. This facilitates use of the proximity sensor device by a user to indicate adjustments to an electronic device, and is particularly useful for indicating continuing adjustments.

A video surveillance system includes multiple video cameras. The surveillance system is configured with an arrangement to separate the surveillance functions and assign different surveillance functions to different cameras. A master camera is assigned the surveillance of large area surveillance and tracking of object movement while one or more slave cameras are provided to dynamically rotate and adjust focus to obtain clear image of the moving objects as detected by the master camera. Algorithms to adjust the focus-of-attention are disclosed to effectively carry out the tasks by a slave camera under the command of a master camera to obtain images of a moving object with clear feature detections.

An object detection system is provided that projects one or more patterns onto a monitored area, captures one or more live images of the monitored area, and detects objects that enter the monitored area by detecting changes in the one or more patterns in the live images. Such an object detection system may be less susceptible to dynamic lighting conditions, and more sensitive to object motion and/or presence.

A method that integrates sensor data and video analysis to analyze object motion. Motion capture elements generate motion sensor data for objects of interest, and cameras generate video of these objects. Sensor data and video data are synchronized in time and aligned in space on a common coordinate system. Sensor fusion is used to generate motion metrics from the combined and integrated sensor data and video data. Integration of sensor data and video data supports robust detection of events, generation of video highlight reels or epic fail reels augmented with metrics that show interesting activity, and calculation of metrics that exceed the individual capabilities of either sensors or video analysis alone.

An object in a video sequence of frames is tracked by object masks generated for frames in the sequence. Macroblocks are motion compensated. Blocks matching entirely within a prior-frame object mask are used to generate an average object motion. When the average motion is below a motion threshold, frames are skipped at larger intervals, but more frequent frames are processed when high motion occurs. When the macroblock best matches a prior-frame block that has the object's boundary passing through the block, the macroblock is uncertain and is sub-divided into smaller sub-blocks that are again motion compensated. Sub-blocks matching blocks within the object mask in the base frame are added to the new object mask for the current frame while sub-blocks matching a block containing the object boundary are uncertain and can again be sub-divided to further refine the object boundary. Frame skipping and adaptive-size blocks on the object boundary reduce computational load.

Aspects of the disclosure relate generally to maneuvering autonomous vehicles. Specifically, the vehicle may determine the uncertainty in its perception system and use this uncertainty value to make decisions about how to maneuver the vehicle. For example, the perception system may include sensors, object type models, and object motion models, each associated with uncertainties. The sensors may be associated with uncertainties based on the sensor's range, speed, and /or shape of the sensor field. The object type models may be associated with uncertainties, for example, in whether a perceived object is of one type (such as a small car) or another type (such as a bicycle). The object motion models may also be associated with uncertainties, for example, not all objects will move exactly as they are predicted to move. These uncertainties may be used to maneuver the vehicle.

The present invention relates to a system and a method for monitoring/tracking the movement of an object in a location which is difficult to access, such as the movement of a patient in a clinical MRI scanner. This is achieved by an optical motion tracking system for determining the movement of an object at least partly located in a volume of difficult access and/or at least partly located in an electromagnetic field, said system comprising a borescope for imaging a pattern on the object or a surface part of the object with a camera, said pattern or surface part located adjacent to a distal end of the borescope and said camera attached to a proximal end of said borescope, and image processing means for calculating the movement of said pattern or surface part relative to the distal end of the borescope based on a plurality of frames/images captured by the camera. The invention further relates to the use of a borescope for motion tracking of an object and a marker plate suitable for use in the motion tracking system.

In a system and method of capturing movement of an object, a tracking device is used having an optical marker and a motion sensor providing motion data representative of the position and orientation of the tracking device. The tracking device is connected to the object, and motion of the optical marker is registered by a camera to thereby provide video data representative of the position of the tracking device. The motion data and the video data are processed in combination to determine the position and orientation of the tracking device in space over time.

The invention discloses a screen display-controlling method facing to a slide body of a touch screen, which comprises the following steps of: (1) setting a coordinate system on a touch screen; (2) detecting the sliding action of a user on the touch screen with the coordinate system, and recoding parameters correlative to the sliding action; and (3) controlling the moving direction, speed and displacement of the slide body displayed on the screen according to the parameters, wherein the motion of the slide body is an inertial motion which consists of a positive acceleration stage and a negative acceleration stage. The method can control the display status of the slide body in the screen according to the sliding operation of the user on the slide body of the touch screen, reflects the factors such as the moving direction, speed, acceleration and the like of the slide body, and leads the user to obtain the visual effect which is close to the motion of objects in the real world.

Object motion during camera exposure often leads to noticeable blurring artifacts. Proper elimination of this blur is challenging because the blur kernel is unknown, varies over the image as a function of object velocity, and destroys high frequencies. In the case of motions along a 1D direction (e.g. horizontal), applicants show that these challenges can be addressed using a camera that moves during the exposure. Through the analysis of motion blur as space-time integration, applicants show that a parabolic integration (corresponding to constant sensor acceleration) leads to motion blur that is not only invariant to object velocity, but preserves image frequency content nearly optimally. That is, static objects are degraded relative to their image from a static camera, but all moving objects within a given range of motions reconstruct well. A single deconvolution kernel can be used to remove blur and create sharp images of scenes with objects moving at different speeds, without requiring any segmentation and without knowledge of the object speeds.

A simple, relatively inexpensive, non-contacting, full-field (total visible surface) measurement and visualization methodology is described to measure the object motions and the object stretches and object distortions (deformations) during oscillation of an object. The method is capable of full-field measurement of 1D, 2D and/or 3D object motions and the associated object surface deformations on vibrating objects. The methodology is based on a combination of stroboscopic image ascuisition and/or controlled image exposure time with a synchronization system to acquire the images at appropriate times during periodic oscillation of an object; the periodicity of the applied excitation is used to mitigate the requirement for high speed imaging. Then, image matching procedures, such as 3D digital image correlation, are used with software to extract full-field object motions and surface deformations at each time of interest.

A method of reducing the effect of object movements along MRI imaging. The method includes: acquiring a sequence of MRI consecutive images of an object; storing on a computer readable medium, for each of the images, at least one parameter p indicating spatial image orientation at which the image was taken; analyzing the sequence of the images for detection of the object movement; and tagging images of at least one movement of the object.