460 results about "Camera angle" patented technology

Position information of equipment at an event, such as a ball, one or more players, or other items in a game or sporting event, is used in selecting camera, camera shot type, camera angle, audio signals, and/or other output data for providing a multimedia presentation of the event to a viewer. The position information is used to determine the desired viewer perspective. A network of feedback robotically controlled Pan-Tilt-Zoom (PTZ), manually controlled cameras and stationary cameras work together with interpolation techniques to create a 2D video signal. The position information may also be used to access gaming rules and assist officiating of the event. The position information may be obtained through a transceiver(s), accelerometer(s), transponder(s), and/or RADAR detectable element(s) fitted into the ball, apparel or equipment of players, the players themselves, or other playing equipment associated with the game or sporting event. Other positioning methods that can be used include infrared video-based tracking systems, SONAR positioning system(s), LIDAR positioning systems, and digital signal processing (DSP) image processing techniques such as triangulation.

A plurality of cameras are controlled to follow a common moving target in a three dimensional environment such that each camera generates a video feed comprising a plurality of video segments captured sequentially. Each video segment comprises a static image of the target at a respective point in time. A resulting video is generated by selecting a sequence of video segments which may include video segments from different cameras and at the same or different points in time to create various video effects. The recorded video segments are categorized for later recall according to camera identification and point in time to allow for instantaneous recall for producing video replays from a variety of camera angles during a live event. Auxiliary video segments can be computer generated for insertion between video segments captured by the cameras for smoothing the appearance of the resulting video.

Aspects of the present invention include method and apparatuses that may utilize a digital video recording device with a screen control panel, for example, a touch screen control panel, to record digital video data with adjusted light compensation based on a selected object within a scene. For example, a user, using a touch screen control panel, may choose an object within a scene. Based on this selection, the digital video recording device may adjust the backlight compensation settings and camera angle to obtain a better image of the selected object. A user may select an object by touching the image of the object, tracing the selected object, or touching a number of reference points of the object. Then, depending on the user selection, the digital video recording device may take a snapshot, zoom in and take a snapshot, record the scene, or it may lock on the object and readjust and track the object as the object moves, while recording the scene.

A system for capturing, encoding and transmitting continuous video from a camera to a display monitor via a network includes a user friendly interface wherein a map is provided at a display screen for illustrating the location of the cameras and indicating the direction of the camera angle. The monitor includes a display area for selectively displaying selected cameras and for controlling the selection, display and direction of the cameras from a remote location. The display screen can be configured to display one or any combination of cameras. The cameras can be selected by manual selection, pre-programmed sequencing or by event detection with the selected camera automatically displayed on the display area. Secondary monitors may be incorporated to enhance the display features. The secondary monitors are controlled by the control panel provided on the primary monitor.

Systems and methods for repeat photography and difference extraction that help users take pictures from the same position and camera angle as earlier photos. The system automatically extracts differences between the photos. Camera poses are estimated and then indicators are rendered to show the desired camera angle, which guide the user to the same camera angle for repeat photography. Using 3D rendering techniques, photos are virtually projected onto a 3D model to adjust them and improve the match between the photos, and the difference between the two photos are detected and highlighted. Highlighting the detected differences helps users to notice the differences.

The invention discloses a mobile terminal with a rotation camera. The mobile terminal with the rotation camera comprises a terminal main body and a rotation camera component which is arranged at the top of the terminal main body and can rotate relatively to the terminal main body, wherein a Hall sensor is arranged at one end of the terminal main body, close to the rotation camera component, the Hall sensor is electrically connected with a central processing unit, a first magnet and a second magnet are arranged on a position in the rotation camera component, corresponding to the Hall sensor, the first magnet and the second magnet are bar magnets, a polarity of the first magnet and a polarity of the second magnet, which are the same, are oppositely arranged, and the first magnet, the second magnet and the Hall sensor are located on the same straight line under the circumstance that the rotation camera component is not rotated. The invention further discloses a camera angle control method of the mobile terminal with the rotation camera. By adopting the technical scheme, the mobile terminal with the rotation camera has strong magnetic field intensity, can effectively improve detection precision, and enables rotation angle detection to have good interference resistance.

The invention provides a method for estimating crowd density in a video image, which comprises the following steps: firstly, selecting an area of interest in a video image sample, and performing partitioning analysis of image blocks on the area of interest according to a perspective model; secondly, acquiring multi-scale grain characteristics by aiming at each image block; thirdly, performing cluster analysis on the video image sample to establish a classifier model of relation between the image block density level and the grain characteristics; fourthly, determining the density level of eachimage block in a target video image according to the classifier model; and fifthly, acquiring the overall density level of a target video area according to the density levels of all the image blocks in the area of interest. The method establishes a unified and definite partitioning standard of the image block density levels under the condition with different scenes, different camera angles and different positions, so the method can adapt to different scenes and provides a reliable density level estimation.

The invention discloses a three-dimensional human body model attitude and shape reconstruction method through a video sequence, and the method comprises the steps: 1), extracting two-dimensional jointpoints of a person in a video frame; 2), extracting facial feature points of the person in the video frame; 3), extracting a two-dimensional contour line of the person in the video frame; 4), estimating camera parameters, and generating a perspective matrix according to the camera parameters; 5), carrying out the optimization of the model posture and shape through an optimization method; 6), obtaining the edge points of the 3D human body model at the camera angle and the matching relationship between the edge point and the 2D contour line; 7), carrying out the re-optimization of the shape ofthe model through the optimization method so that the sum of the differences between the distances from the positions of the edge points of the three-dimensional model at the camera angle after projection to the positions of the two-dimensional contour points in the video frame is minimized. The method can avoid the posture turnover in the reconstruction process, and also can accurately reconstruct the posture of a head under the condition that the overall similarity of the model is guaranteed.

The invention discloses a device and a method for synchronously synthesizing images. The device for synchronously synthesizing the images comprises at least two cameras used for respectively receiving optical signals, an image processing module used for respectively converting the optical signals received by the cameras into digital image signals, an image synthesizing module used for synchronously synthesizing the digital image signals converted from the optical signals into image data of a picture, a control module used for controlling the optical signals received by the camera to synchronously synthesize the image data of the picture according to an instruction of a user, a display used for displaying the picture synchronously synthesized by the image synthesizing module, and a storageused for storing the image data. The device and the method can simultaneously capture pictures at different camera angles at the same instant and synchronously synthesize the pictures into one picture so as to fulfill the real intention of group photo furthest.

A method of efficiently creating an animation image data file is provided. Components of a device are modeled using a 3-D CAD system and filed. After file format conversion, the file is imported to application software for animation. The components are then assembled, a camera angle is selected, and the transparency of the components is specified. A video file is created and included in an HTML file which is a completed animation data file. A clear perspective of the device comprising complicated components can be obtained because some components created with 3-D CAD system are rendered transparent using the application software for animation.

An approach for enabling users to generate an interpolated view of content based on footage captured by multiple cameras is described. An interpolation platform receives a plurality of images from a plurality of video cameras providing overlapping fields of view. A camera angle that is different from angles provided by the plurality of cameras is selected. The interpolation platform then generates an interpolated image corresponding to the selected camera angle using a portion or all of the plurality of images from the plurality of cameras.

Event venues may be set up to include multiple cameras, each camera providing a video feed providing a view from a different location in an eventgoer seating area of the event venue. The cameras may all feed into a central event venue controller system, which may then interact with mobile devices of users requesting streaming video feeds of an event taking place in the event venue. The event venue controller system can then provide the multiple video feeds from the variety of locations to the requesting mobile devices. The event venue controller system can also automatically intelligently pick out the best video feeds based on distance to specific event occurrences, camera angles, and types of event occurrences. The event venue controller system may charge the mobile devices for providing the video feeds and for picking out the best video feeds.

A dolly and track system is provided that includes a dolly assembly configured to enable tripod-mounted camera angles as well as low profile camera mountings. The camera plate can be positioned at prescribed locations on the dolly assembly to enable optimum view angles without concern for capturing the track or dolly in the field of view, particularly when shooting from a low profile. In this manner, the system provides users with multiple filming options, to include tripod use and low-profile filming, in a compact system.

An object of this invention is to provide a game device that can add much to the production of the game. The invention is a game device for displaying a game image which expresses a virtual three-dimensional space, which is characterized in that it displays the first action scene between the first player character and the first enemy character and the second action scene between the second player character and the second enemy character based on the predetermined camera angle to project the first player character and the first enemy character related to the predetermined command which is given to the first player character by the player.

An image content replacement apparatus and method wherein a camera image receiving unit (44) receives video images (21) observing a scene including a subject (10) and a mask signal generating unit (46) generates a mask signal (43) that defines marked areas of the video images (21) corresponding to the subject (10). A content substitution unit (47) substitutes the marked areas with alternate image content (42) according to the mask signal (43) to output modified camera images (41). An image selector unit (48) selects the alternate image content (42) amongst at least a first alternate image content (42a) when the subject is determined to be in a first condition within the scene and a second alternate image content (42b) when the subject is determined to be in a second condition within the scene. In examples, the first and second alternate image contents (42a, 42b) are selected based on a determined camera zoom value or a camera angle.

A device may include a camera to capture an image; a sensor to measure, when the camera captures the image, information indicative of an angular displacement, about a line of sight of the camera, of an orientation of the device away from a reference orientation of the device; storage to store the measured information for rotating the image relative to a frame of the image based on the angular displacement.

The invention discloses a camera angle adjustment method, a system and a television. The method comprises the steps that when video call connection is established through the television, a video image captured by a camera is acquired; whether a facial characteristic exists in the current frame of the video image is determined, and if the facial characteristic exists, the position of the facial characteristic in the current frame is determined; angle deviation is computed, wherein the position of the facial characteristic is located at the center of the video image through the angle deviation; according to the angle deviation, a deflection angle of the camera is computed; and a cradle head is controlled to drive the camera to rotate the deflection angle in the horizontal direction. According to the method, the system and the television, a user can be always at the center of a video screen, and video call can be carried out through the television.

Technologies are provided for generating three-dimensional (3D) skeletons of target objects using images of the target objects captured from different viewpoints. Images of an object (such as a person) can be captured from different camera angles. Feature keypoints of the object can be identified in the captured images. Keypoints that identify a same feature in separate images can be correlated using truncated epipolar lines. For example, depth information for a keypoint can be used to truncate an epipolar line that is created using the keypoint. The correlated feature keypoints can be used to create 3D feature coordinates for the associated features of the object. A 3D skeleton can be generated using the 3D feature coordinates. One or more 3D models can be mapped to the 3D skeleton and rendered. The rendered one or more 3D models can be displayed on one or more display devices.

A method and implementation of enhancing a facial recognition process to increase the judgment confidence on identifying a person from a large image database of multiple persons. The method may include reconstructing a database of 2D images having only a small number of images with respect to each person into a database having multiple images, perhaps hundreds or thousands, of each person. The multiple images represent different camera angles or different lighting conditions. The method further includes adding an extra confidence percentage to matching images in the database when multiple images of a person are identified as matching.