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67 results about "Temporal Regions" patented technology

Temporal region may refer to: Temporal lobe, one of the four major lobes of the cerebral cortex in the brain of mammals. Temple (anatomy), the side of the head behind the eyes.

Stereoscopic viewing device and stereoscopic viewing method

This invention concerns a stereoscopic viewing device and a stereoscopic viewing method, and makes it possible to provide a satisfactory stereoscopic image without increasing of the quantity of recorded information and the quantity of transmitted information. According to the invention, the input television signal is classified respectively on the basis of the level distribution pattern for every pixel in the spatio-temporal region whose center is lying on each attentional pixel, and the input television signal is blocked for every pixel in the spatio-temporal region whose center is lying on each attentional pixel respectively so as to generate the pixel data for predictive calculation, and the predictive calculation of the predictive calculating pixel data is processed utilizing the predictive coefficient which is corresponding to the result of classification obtained from the classifying means out of the predictive coefficients of each set which have been previously prepared, so as to generate the video signal for left eye and the image signal for right eye respectively, and then the stereoscopic image is displayed on the basis of the video signal for left eye and the video signal for right eye; in this way a stereoscopic image can be projected on the displaying means such that a flicker is eliminated and a deterioration of the image quality is prevented.
Owner:SONY CORP

Method for automatically identifying and distinguishing eye fundus images

The invention discloses a method for automatically identifying and distinguishing eye fundus images. The method comprises the following steps: obtaining black and white or colored eye fundus image pictures by using eye fundus photographic equipment, and storing the black and white or colored eye fundus image pictures according to a left eye or a right eye; dividing the eye fundus image of the left eye or the right eye into seven regions, which are respectively a first region-optic disk region, a second region-macular region, a third region- macular temporal region, a fourth region- area temporalis superior, a fifth region- area temporalis inferior, a sixth region- superior nasal region and a seventh region- inferior nasal region; and automatically judging that the collected eye fundus image belongs to one of the seven eye fundus regions through the computer graphics according to the optic disk, macular and vascular network information in the eye fundus image. The method disclosed by the invention is used for introducing automatic computer image identification into the processing of the images of the seven eye fundus regions, and extracting feature structures of different eye fundus regions to serve as reference for automatically locating and collecting the eye fundus image, and providing a brand new manner for researchers or film reading doctors to research and read the images of the seven eye fundus regions, so as to greatly improve the film reading efficiency and reduce the error probability.
Owner:成都银海启明医院管理有限公司

Device for controlling music player by using brainwaves

The present invention relates to a device for controlling a music player by using brainwaves and belongs to the biomedicine technical field. The device is characterized in that a head-mounted wireless Bluetooth brainwave acquisition earphone comprises an electrode sensor module, a preprocessing module, an analog/digital conversion module, a pattern recognition module, a power source module, a Bluetooth transmitting module, a headband and a soft protection pad; and a player terminal comprises a Bluetooth receiving module and a music playing module. The head-mounted wireless Bluetooth brainwave acquisition earphone of the device of the invention is simple and clear in shape, is practical and has powerful functions; and a control scheme combining the brainwave energy change signals of the ERD/S of the center of the motor region of the brain and the signal change of the Delta waves of the temporal region of the brain is adopted, so that a user can generate different brainwave signals through corresponding movement imagination and the change of the Delta waves, and therefore, the user can operate a playing device in real time through wanted control instructions. The device of the invention can be widely applied to fields such as entertainment, education and health recovery training fields.
Owner:KUNMING UNIV OF SCI & TECH

Sow lactation behavior recognition method based on computer vision

The invention discloses a sow lactation behavior recognition method based on computer vision, which comprises the following steps: 1) collecting overhead video segments of sows and piglets during lactation period; 2) calculating spatio-temporal characteristics such as intensity of move pixel, duty cycle and aggregation degree based on optical flow characteristics, and extracting time serie key frames; 3) using that DeepLab convolution network to segment the sow and the piglet in the key frame, automatically locating the region of inter of the suckling according to the shape matching algorithm,and obtain the spatio-temporal region of interest; 4) a recognition unit is arranged in that spatio-temporal region of interest to extract the motion characteristic of the piglets, including the motion distribution index characteristics of the piglets and the suck motion characteristics of the piglets based on the light flow in the normal direction of the ventral line of the sows; 5) inputting that motion characteristics of the piglet into the SVM classification model to realize automatic recognition of the sow lactation behavior. The invention utilizes the temporal and spatial motion information of the sow and the piglet in the lactation behavior to recognize the sow lactation behavior under the environment of the pig farm, thereby solving the problem that the artificial monitoring of the pig farm is difficult.
Owner:SOUTH CHINA AGRI UNIV

Head fixing device for radiography imaging and x-ray imaging system having same

Disclosed are a head fixing device, which is applied to an X-ray imaging system having an X-ray generator and an X-ray detector for photographing an image of a head and supports a head of an examinee such that the head of the examinee is maintained at a photographing position in an aligned state, and an X-ray imaging system using the same. Here, the head fixing device supports the occipital region and the temporal region of the examinee, thereby aligning the head of the examinee in the photographing position and maintaining the position of the head. The head fixing device comprises: an occipital region support (occipital support portion) for supporting the back of the head to block movement toward the rear side of the head, and a temporal region support (temporal support portion) for blocking left/right movement of the head, wherein the temporal region support may be provided in the occipital region support or may be separated from the occipital region support. In general radiographic inspection and dental radiographic inspection, the present invention can effectively fix the position of the head and ensure a stable position, thereby minimizing the probability of or preventing the generation of an error during radiography and obtaining an image having a high diagnostic value.
Owner:UNIV IND COOP GRP OF KYUNG HEE UNIV

Smoke vehicle detection method based on self-organizing background difference model and multi-feature fusion

The invention discloses a black smoke vehicle detection method based on a self-organizing background difference model and a multi-feature fusion, which comprises the following steps: detecting a moving object from a video surveillance by using the self-organizing background difference model, and determining a key area; transforming the key region image into YCrCb color space and extracting the color moment feature; transforming the key regions into gray space, and extracting the local ternary mode histogram and edge direction histogram; according to the position of the key region of the current frame, extracting the corresponding regions of several frames from the whole frame sequence, concatenating the same features extracted from all the temporal regions to form the feature vectors of each class, and normalizing the feature vectors of each class to form the final feature vectors; classifying the final eigenvectors by using the pruned radial basis function neural network classifier; identifying the key areas of smoke and further identifying the smoky vehicles. The invention can further improve the identification rate, reduce the false alarm rate, and has good identification effecton smoky vehicles with relatively light black smoke.
Owner:SOUTHEAST UNIV
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