499 results about "Area change" patented technology

The autofocus system of the present invention is characterized by comprising a target subject specifying device which specifies a target subject to be put into focus, a tracking image pickup device which captures a subject image in the shooting range of the camera, and is provided in addition to an image pickup device of the camera which captures a subject image to be recorded or regenerated, a target subject movement detection device which detects a movement in the shooting range of the target subject specified by the target subject specifying device according to an image signal of a subject image captured by the tracking image pickup device, and an AF area change device which changes a range of the AF area such that the movement of the target subject detected by the target subject movement detection device is tracked.

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.

The invention discloses a method for identifying and detecting the fire flame in a big space, including: pretreating the input video streams, performing movement detection for the video streams to obtain the movement pixel, performing color detection for the video streams to obtain the pixel with the flame characteristic color, performing frequency domain analysis for all the pixels according with the movement detection and the color detection flame characteristic, searching the communicating areas formed by mutually connecting the pixels according with the same characteristic, calculating the circumferences and the areas of the obtained communicating areas to perform the shape analysis, performing the area change variable analysis for each communicating area, at last judging whether the fire happens. In the method, the real flame in the big space is distinguished from the flashy car light, so that the device is not only for the flame detection in the tunnel, but also used in the big-space fire flame detecting sites such as a gymnasium, a museum, a warehouse and the like.

A method for updating a tracking area in a wireless communication system is provided. The method may be performed between a mobile relay node and a user equipment. The mobile relay node transmits a tracking area change message to a user equipment (UE) on the mobile relay node, receives a tracking area change response message from the UE as a response to the tracking area change message, transmits a tracking area update (TAU) request message to a donor evolved NodeB (DeNB), receives a TAU accept message from a mobility management entity (MME), and transmits a TAU complete message to the UE.

A particulate accumulation amount estimating system is configured to accurately estimate an amount of particulate matter accumulated in a particulate filter based on the pressure difference across the particulate filter even when ash is accumulated in the particulate filter. The particulate accumulation amount estimating system is configured to estimate a particulate accumulation amount of particulate matter accumulated in the particulate filter based on a pressure difference that was detected across the particulate filter and an effective area change of the particulate filter that was detected due to the accumulation of ash in the particulate filter. The estimate of the particulate accumulation amount based on the pressure difference across the filter will be lower as the estimate value of the ash accumulation amount becomes larger.

The embodiment of the invention relates to the field of smart home, in particular to a sitting posture identification method and a smart seat. The sitting posture identification method is applied to the smart seat. The smart seat comprises a backrest and a seat cushion and is provided with multiple pressure sensors. The method comprises the steps that pressure applied to the pressure sensors by auser is collected; the valid pressure sensors are positioned from the pressure sensors; according to the valid pressure sensors, valid areas are determined; the area and pressure of the valid areas are acquired, and according to the area change and pressure change of the valid areas, a sitting posture of the user is identified. In this way, according to the sitting posture identification method and the smart seat, the sitting posture of the user can be precisely identified, and the user is reminded to correct the sitting posture according to the sitting posture problem of the user.

A vehicle detection apparatus detects oncoming vehicles, and the illumination angle of the headlight is changed downwardly when oncoming vehicles are detected. When detecting the oncoming vehicles, the vehicle detection apparatus detects brightness or area for the every light source in an acquired image repeatedly, and detects as a variable light source any light source of which brightness or area changes within a reference time beyond a predetermined variation reference value. Then, when a variable light source is detected, it is determined that vehicles exist in the acquired image.

The invention provides a sliding friction generator and a power generation method. The generator comprises a friction layer and an electrode layer which is electrically connected to an equal potential, wherein when the upper surface of the electrode layer and the lower surface of the friction layer slide relatively under the action of external force, the friction area changes in a sliding process, so that an electric signal can be output between the electrode layer and the equal potential. Correspondingly, the invention further provides a vector displacement sensor applied to the sliding friction generator. The electrode layer consists of a plurality of sub-electrodes. When a moving object slides on the electrode layer, the position, the moving direction and the moving distance of the moving object can be detected according to the electric signal output between the sub-electrodes and the equal potential without providing any power supply for the sensor.

There is provided with a video display apparatus comprising: a receiving unit configured to receive a composite video image generated from a plurality of video sources; a display unit configured to display the received composite video image; an area manager configured to store area information pieces; a position specification unit configured to specify a position on the composite video image; an area selection unit configured to select an area information piece from the area information pieces; an area display unit configured to provide information indicating the area represented by the selected area information piece to the display unit so as to superpose the information on the displayed composite video image; an area change unit configured to change the information; an area information update unit configured to update the selected area information piece; and a transmission unit configured to transmit an update control signal containing the area information piece after update.

The invention is a fire monitoring method and device based on all- direction computer vision, mainly making field monitoring by all-direction computer vision sensor, inputting the taken continuous all-direction image into the computer for continuous image processing and analysis, and obtaining a synthetic result by simple fire mode classification, flame area change characteristic judgment, flame shape change characteristic judgment, flame color characteristic judgment, flame flickering rule characteristic judgment, whole flame motion characteristic judgment and fire intensity characteristic judgment, making different processings according to the calculation and synthetic judgment quantized values to reduce false alarm rate of fire. And the invention provides a truly original, quicker, accurater, more reliable multiparameter intelligent fire monitoring method and device.

An information processing apparatus which performs variable printing processing to print by inserting different contents data into a variable area of document data for each predetermined unit, comprises a setting unit configured to set variable area information for defining at least a position and size of a variable area laid out in document data; and a creation unit configured to create output data in which the variable area containing the contents data is laid out in each document page in accordance with the variable area information, wherein the setting unit sets the variable area as a variable area common to document pages of a document, and when variable area information of the common variable area changes, sets the changed variable area information for the common variable area laid out in each document page of the document.

The invention discloses a model area change rate-based adaptive hierarchical processing method. The method comprises the following steps of importing an STL model and establishing a model topological structure; performing uniform hierarchical slicing on the model with the highest precision, obtaining a two-dimensional polygon contour layer and calculating an area of each layer of a polygon after slicing; performing derivation on the area of each layer of the polygon to obtain an area change rate of the model; comparing the calculated area change rate with a threshold according to a relationship between the area change rate of the model and the printing precision, and obtaining a printing precision distribution situation of the model in a printing direction; calculating hierarchical layer thickness data required for model printing, and performing processing by using a rounding-off method to generate adaptive hierarchical layer thickness data; and reading the hierarchical layer thickness data by a slicing engine, and performing adaptive layer thickness slicing on the model to obtain a gcode file required for printing. According to the method, while the detail characteristics of the model are ensured, the forming speed of the model is increased, and the printing time is effectively shortened.

Before execution of a routing area update (RAU) procedure associated with a handover of a mobile station (40) from a source cell to a target cell in a mobile telecommunication system, a handover required message (14) is sent to a core network (CN) from a source base station (16) in the source cell having a mobile station identifier (IMSI), an identifier of at least one target cell routing area code (RAC) and a temporary logical link identity (TLLI). In response thereto, a handover command message (32) is sent to the source base station from the core network having a packet-temporary mobile subscriber identity (P-TMSI) for transfer to the mobile station in ciphered form over a radio interface between the source base station and the mobile station so that the mobile station is able to send packet-switched (PS) data on an uplink before the RAU procedure is executed.

To provide an image processing system and the like which can perform an image distortion correction and focus adjustment approximately at the same time without changing a projecting position intended by a user, a projector includes: a distortion correcting section which corrects image signals to adjust the distortion in an image; an image projection section which includes a lens unit having a focus adjustment function, the lens unit projecting an image based on the corrected image signals; a control section and a focus lens driving section which control the driving of the lens unit so that the focal length of the lens unit to an image projection area changes; a sensing section which senses the projected image; and a distortion correction amount deriving section which derives the focal length to the center of the image projection area and also an amount of distortion correction for the distortion correcting section, based on sensing information.

The present invention relatesto a method for estimating area factor change of surface fealures of crop planted area, forest covered area and urban land-use area, etc. by using remote sensing data with different dimensions as data source and adopting symmetrical system sampling technique. Said invention utilizes remote sensing image with middle and low resolution, such as MODIS and TM to construct sampling basic unit, uses the primary estimate value of area changed dimension as auxiliary variable quantity to make collation, and adopts symmetrical system sampling technique to select sample point with strong representativeness, and utilizes the sample information to calculate the area change of researched object in whole region.

The invention discloses a method for forecasting the noise value of a propeller noise value in uneven inflow. The method for forecasting the noise value of the propeller in the uneven inflow comprises the steps that firstly, a CFD computation grid is divided, steady iterative computation is conducted so that the water flowing performance parameter and the water speed of an inflow opening can be worked out and the accuracy of a model is verified; secondly, CFD unsteady computation is conducted, the period state of blade cavitation and the blade cavitation area change of the propeller are recoded; thirdly, through CFD flow field data, acoustic boundary element value computation is conducted, and load noise of the propeller is worked out; finally, the noise of the propeller is worked out through the blade cavitation monopole radiation noise of the propeller and the load noise of the propeller.

An apparatus for displaying other ship targets is provided that displays the positions and detailed information concerning substantially all vessels present in a predetermined region around the own ship in a manner that is easy to grasp for the operator. A display screen includes Graphical Position Display Area 11, Target List Display Area 12 and Vessel Detail Information Display Area 13. A selected vessel of interest is displayed on Graphical Position Display Area 11 with Icon 102, and non-selected vessels are displayed by Icons 103 thereby making it possible to tell them apart. In conjunction with this, a portion of Target List Display Area 12 corresponding to the selected vessel is subjected to Emphasized Display 121, and the detailed information about the selected vessel is displayed in Vessel Detail Information Display Area 13. Here, when the operator switches the selected vessel in Graphical Position Display Area 11 or Target List Display Area 12, the display of the three areas changes in accordance with this operation, such that the selected vessel is subject to emphasized display and detailed display.

To provide an image evaluation apparatus and camera which are capable of evaluating an image which is comprehensively good. An image evaluation apparatus comprising: a storage portion which stores a plurality of images when an imaging portion of a camera has continuously imaged in a predetermined time interval a plurality of frames of a subject in a photographing area of the camera, and an image evaluation portion which evaluates a plurality of the images stored in the storage portion, based on a characteristic amount showing a state in which the subject in the photographing area changing in chronological sequence, when the plurality of the images is imaged.