256 results about "Fast motion" patented technology

An estimated total camera motion between temporally proximate image frames is computed. A desired component of the estimated total camera motion is determined including distinguishing an undesired component of the estimated total camera motion, and including characterizing vector values of motion between the image frames. A counter is incremented for each pixel group having a summed luminance that is greater than a threshold. A counter may be decremented for pixels that are under a second threshold, or a zero bit may be applied to pixels below a single threshold. The threshold or thresholds is/are determined based on a dynamic luminance range of the sequence. The desired camera motion is computed including representing the vector values based on final values of counts for the image frames. A corrected image sequence is generated including the desired component of the estimated total camera motion, and excluding the undesired component.

This invention relates to one rapid movement estimation method, which comprises the following steps: a, dividing each frame of images into several blocks and determining vector space upper and down message on each current image composed of upper and down messages to determine several prepare motion vector; computing each prepare motion vector matching error values with low motion matching error values with current pixel module designed as motion vector step.

A motion estimation algorithm finds the best match for a given block or macroblock so that the resulting error signal has very low energy level which is computed, for e.g., by the SAD method. The motion estimation algorithm also provides for an optional sub-pixel level estimation and an inter4v search, and allows for restricting the number of searches for a Frame-frame ME (motion estimation) using Top-Top and Bottom-Bottom field MEs. The algorithm provides for a selective early exit and enables selecting a suitable search area with N candidate points (4 to 8) for starting the search. The search is conducted progressively till a minimum error signal (low energy level signal) is reached. The candidate points for search may be in a diamond shaped configuration, and there may be a plurality of successive diamond configurations, the number of which is configurable. The invention has application in MPEG-4 and H.264 standards.

The invention relates to an anti-overlap method for tracking a moving target based on mean shift and belongs to the image processing technology field. The method comprises the following steps: constructing a mean shift model and a Kalman filter model; pre-estimating by utilizing a Kalman filter to obtain the initial position of searching each frame mean shift; obtaining the outline of an object by an image difference method; and defining whether similar factors can shade the object or not. When the similar factors shade the object, the position of the object in current frame is predicted and serves as a starting point for predicting the next frame by attaching different weights to color information and movement information respectively, according to the difference of mobile status of the object. Accordingly, the linear prediction of target position replaces the function of Kalman filter. Experiments prove that the method can realize the tracking of a quickly moving object and has good robustness for shading.

The invention belongs to the field of computer vision and pattern recognition and discloses a moving target tracking method based on an improved multi-example learning algorithm. Firstly, a random measurement matrix is designed according to the compression perception theory. Then a multi-example learning algorithm is used to sample an example in a current tracking result small neighborhood to form a positive package, and at the same time, sampling an example is carried out in a large neighborhood ring to obtain a negative package. For each example, the characteristic of a character target is extracted at an image surface, and the random measurement matrix is utilized to carry out dimensionality reduction on the characteristic. According to the extracted example characteristic, online learning weak classifiers are utilized, and weak classifiers with strong discrimination ability are selected from a weak classification pool to form a strong classifier. Finally, when a new target position is tracked, according to a similarity score of the current tracking result and a target template, the online adaptive adjustment of classifier update degree parameters is carried out. According to the method, a problem that a tracking result in the existing algorithm is easily affected by an illumination change, an attitude change, the interference of a complex background, target fast motion and the like is solved.

The invention concerns a method (200 or 300) and system (100) for performing a trick mode operation on a video signal containing a plurality of progressively scanned original pictures. The method (200) includes the step of selectively skipping (214) at least one of the original pictures to convert the video signal to a trick mode video signal in response to a trick mode command and the step of selectively inserting (216) at least one dummy predictive picture in the trick mode video signal. In addition, the method (300) can include the step of monitoring (316) the trick mode video signal so that the dummy predictive picture is selectively inserted when the bit rate exceeds a predetermined threshold. Display indicators of certain pictures in the trick mode video signal can also be modified (226) (328) to reflect an intended display order.

A fast motion estimation system that determines a reference macroblock or sub-block combination within a reference frame for a current macroblock in a current frame includes a memory, a reference macroblock search circuit, a sub-block combination search circuit, and a comparator circuit. The reference macroblock search circuit determines a motion vector, multiple difference values, and a cost value for each macroblock within the reference frame according to a fast motion estimation search pattern, and stores the motion vector and the difference values in the memory. The sub-block combination search circuit searches the motion vector and the difference values in the memory for determining a corresponding one of multiple lowest cost sub-block combinations for each of multiple sub-block motion modes. The comparator circuit determines a lowest cost macroblock and selects from among the lowest cost macroblock and the lowest cost sub-block combinations to determine the reference macroblock.

A fast motion estimation apparatus and method in which motion estimation is carried out on a current block of a current frame of video image data with reference to a corresponding matching block of a previous frame are provided. The fast motion estimation apparatus includes: a determination unit which determines whether an SAD between pixel values of a current block of a current frame and a corresponding matching block of a previous frame is greater than a predefined threshold; an initial search unit which performs an initial search when the SAD is greater than the predetermined threshold to find which search point of a current search pattern is the minimal SAD point and to determine whether the minimal SAD point matches the center of the current search pattern; and a repetitive search unit which performs an iteration search when the minimal SAD point differs from the center of the current search pattern to reset the minimal SAD point to be a center of the current search pattern and to set a number of search points and the size of a search pattern based on from current search pattern to a center of the search window of the previous frame.

There is provided an image signal deinterlacing apparatus for converting an interlaced scanning image into a progressive scanning image. The deinterlacing apparatus includes: an intra-field pixel processing unit for detecting a face area and a to-be-interpolated data within a field by using pixels of a field disposed before two field from a current field; a motion value generating unit for detecting first to third motion values and first and second motion degree values; a history control unit for detecting a history value; a fast image processing unit for detecting a fast motion image; a film image processing unit for detecting a film image and a caption area and determining a to-be-interpolated field data; a still image processing unit for accumulating the first motion value and the second motion degree value to detect a still image; an inter-field noise image processing unit for detecting an adjacent inter-field noise image; a motion boundary maintenance image processing unit for detecting a motion boundary maintenance image; and a synthesizing unit for selectively interpolating the intra-field to-be-interpolated data, the before-one-field inter-field data and the before-three-field inter-field data according to the detection result.

Provided are a method and apparatus for determining a reference picture and a block mode for fast motion estimation. The method of determining a block mode includes determining motion vectors of respective first sub blocks of an input video data block by performing motion estimation on the video data block in a mode of the first sub blocks, and determining a block mode depending on whether the motion vectors are similar when it is determined there is no need to perform motion estimation on the video data block in a mode of second sub blocks that is smaller than the mode of the first sub blocks. Accordingly, it is possible to remarkably reduce a number of performing motion estimation by using result of motion estimation performed in a block mode, thereby enabling a reference picture and a block mode to be determined with less calculation.

Airborne wind energy conversion system a with flying wing, using a cable or belt to transmit motion to a rotor of a ground based electrical generator with high velocity, achieving high aerodynamic efficiency of the wings and high power for a given torque.

The invention relates to a high reliable inrush current brake method for a transformer, which comprises the steps of sampling, calculating the three-phase differential current fundamental wave content and the second harmonic content of a current sampling point, setting and calculating a floating threshold, and carrying out differential starting judgment, the judgment of the change characteristics of the fundamental wave content and the judgment of the change characteristics of the ratio between second harmonic content and the fundamental wave content by a discriminant so as to determine reliable locking or immediate differential opening. On the basis of a traditional second harmonic braking principle, the method sets the floating threshold, tracks and masters the change characteristics of the fundamental wave and the second harmonic in a real-time manner, analyzes and judges the operation state of the transformer in time by utilizing the change characteristics of the fundamental wave and the second harmonic, solves the contradiction of the right and fast motion between the inrush current brake and differential protection in the current method and ensures the reliable brake of the transformer under the condition of the only existence of the inrush current and the right and fast motion of the transformer under the situation of any fault in the sample space. Meanwhile, the method reduces the value scope of the brake coefficient of the second harmonic and improves the sensitivity of inrush current brake.

This invention discloses a H.264 quick motion estimation method based on multiple reference frames, in which, the multiple reference frame technology is newly introduced, it can increase encoding efficiency greatly but increases the complexity of encoding in linearity, and traditional method utilizes the time relativity of moving vector, and this invention utilizes time relativity and space relativity as well, in the H.264 encoding using the multiple reference frame technology, it applies said quick movement estimation method so as to reduce the complexity of operation of encoding effectively while keeping the video compressing quality.

A reduced memory method, apparatus, and system suitable for implementation in Liquid Crystal Display (LCDs) that reduces a pixel element response time thereby enabling the display of high quality fast motion images thereupon. As a method of generating an overdrive pixel value in an LCD device, a predicted pixel value is compressed and stored. The stored compressed pixel value is then retrieved and decompressed as a start pixel value. An overdrive pixel value based upon a target pixel value and the start pixel value such that the overdrive pixel value enables a pixel to reach the target pixel value within a single frame period.

The invention discloses a video super-resolution reconstruction method based on depth learning. The technical key points are: (1) continuous images are given under the same shot, the network predictsclearer video frame images; (2) using a bi-directional circulating neural network and a depth 3D back projection network; (3) the invention combines two networks into one network, and the network is used as a network (4) for in-depth learning video super-resolution reconstruction of the invention. The training data is labeled, and the processed data video frames are passed through the network to obtain a loss function. A final object of the present invention is to input temporal and spatial information of a low-resolution video frame predicted by a bi-directional circulating network, after the3D projection network re-predicts the details of the video frame, an optimal model is obtained after repeated training. The model is applied to remove the effects of the camera shake, the blur of theobject's fast motion, out-of-focus blur, lens optical blur, depth-of-field variation, compression distortion and noise, and other degradation factors.

The invention discloses a simultaneous positioning and dense three-dimensional reconstruction method, and the method can process quick motion and frequent closing of a loop in a robust manner, and can operate all the time in a larger-scale scene. The method not only can be used for scanning a high-quality three-dimensional model, but also can meet the demands of virtual reality and augmented reality. The method proposes a simultaneous positioning and map construction framework based on a key frame. At first, the method employs the depth and color information at the same time, and can operate on a CPU at a high speed based on the positioning of the key frame, and also can operate in a challenging scene in a robust manner. In order to reduce an accumulated error, the method introduces increment bundling adjustment, can greatly reduce the calculation amount, and enables the local and global bundling adjustment to be completed in a unified framework. Secondly, the invention proposes a fusion method based on the key frame, and the method can achieve the online generation of a model and updates the three-dimensional model in real time during the adjustment of the posture of the key frame.

The invention discloses a target tracking method based on inter-frame constraint super-pixel encoding, mainly aiming to solve the tracking problem of failure in tracking due to shielding of a target, rapid motion and deformation in the appearance. The method comprises the following implementation steps: (1) preprocessing a first frame image; (2) constructing an initial dictionary; (3) encoding a sample; (4) training a classifier; (5) encoding a current frame detection sample; (6) predicting a target frame location; (7) updating the dictionary; (8) accurately encoding the sample; (9) upgrading the classifier; (10) judging whether an image is a last frame image, if so, ending, otherwise, returning to the step (5) to process a next frame image. By adopting a super-pixel segmentation and constraint encoding method, the complexity of a subsequent image processing task is lowered, the consistency principle of image spatial information is ensured, the consistency between the local boundary information and texture information of the image is kept, and a target can be tracked stably and accurately.

The invention relates to a special purpose machine tool for mounting a piston copper bush. The machine tool comprises a lathe bed and a pre-positioning mechanism, wherein the pre-positioning mechanism is arranged in the middle of the lathe bed and slides along a longitudinal slide rail. A clamping mechanism is arranged above the pre-positioning mechanism, an angular positioning mechanism is arranged on one side of the longitudinal slide rail at the back of the lathe bed, and two sets of mechanisms which are used for mounting the piston copper bush by the machine tool are symmetrically arranged on both sides of the longitudinal slide rail in front of the lathe bed, wherein the two sets of the mechanisms which are used for mounting the piston copper bush by the machine tool can slide along a transverse slide rail. An electrical control system for controlling operations of various mechanisms is further arranged. The machine tool provided in the invention is applied in a technical field of manufacture of internal combustion engine components. The special purpose machine tool for mounting the piston copper bush provided in the invention has the following advantages of convenient adjusting and fast motion during use, and is capable of rapid installation of the copper bush. With the machine tool, precision of the mounting position of the copper bush is guaranteed. With installation of the piston copper bush by using the machine tool, yield can be improved by 50%, and efficiency of the machine tool is 3-5 times the efficiency of handwork or utilization of auxiliary tools to assistantly mounting the piston copper bush.

The invention provides a video image optimization-based style transformation method. The method mainly comprises style transformation in a still image, optimization-based coherent video style transfer and training. According to the process of the method, random Gaussian noises are adopted to perform initialization, a content loss function and a style loss function are defined, and therefore, the energy minimization problem of the video style transfer method can be solved, long-term consistency and image quality during the movement of a camera can be improved; and a network with parameters is adopted as input frames, previously generated frames are distorted and masked by blocking masks, output is generated, and the function is adopted to obtain a video recursively. With the method of the invention adopted, the loss functions of the short-term consistency and long-term consistency of the stylized video and the multi-channel mode of the stylized video can be realized, namely, and a stable result is generated under fast motion and intensive blocking conditions; operating time is greatly reduced; and the quality of images can be improved.

The invention discloses a fast motion estimation method and a video coding method, which solves the problem that motion estimation consumes too much time in the prior art. The fast motion estimation method and the video coding method integrate the characteristic of video sequences, set searching templates having different searching diameters, select a different searching template for searching according to the position of the minimum value of the absolute error sum of a current block and the reference block thereof, and can find the optimal matching block quickly without increasing searching complexity, thus to greatly improve the speed and efficiency of video coding.