676 results about "Motion prediction" patented technology

The technology of the 4D-GIS system deploys a GIS-based algorithm used to determine the location of a moving target through registering the terrain image obtained from a Moving Target Indication (MTI) sensor or small Unmanned Aerial Vehicle (UAV) camera with the digital map from GIS. For motion prediction the target state is estimated using an Extended Kalman Filter (EKF). In order to enhance the prediction of the moving target's trajectory a fuzzy logic reasoning algorithm is used to estimate the destination of a moving target through synthesizing data from GIS, target statistics, tactics and other past experience derived information, such as, likely moving direction of targets in correlation with the nature of the terrain and surmised mission.

A signal generator generates an electrical signal that is sent to an amplifier, which increases the power of the signal using power from a power source. The amplified signal is fed to a sender transducer to generate ultrasonic waves that can be focused and sent to a receiver. The receiver transducer converts the ultrasonic waves back into electrical energy and stores it in an energy storage device, such as a battery, or uses the electrical energy to power a device. In this way, a device can be remotely charged or powered without having to be tethered to an electrical outlet.

An image processing apparatus includes a motion prediction processor configured to detect a motion vector that indicates inter-image motion between a current image and a reference image; a motion compensation processor configured to perform a motion compensation process for the reference image by using the motion vector and generate a motion compensated image; an addition processor configured to generate a noise reduced image in which noise of the current image is reduced by adding the current image and the motion compensated image; an addition determination unit configured to compute an addition weight in units of pixels of the motion compensated image; a down-sampling processor configured to perform a process for reducing the current image and the motion compensated image; and an up-sampling processor configured to perform a process for expanding an addition coefficient map that is an output of the addition determination unit.

An encoding apparatus includes a selector for periodically selecting fields of an interlaced video signal to be converted to respective progressive scanning frames, by a scanning converter which doubles the number of scanning lines per field. The apparatus encodes these frames by intra-frame encoding or unidirectional predictive encoding using preceding ones of the frames, and encodes the remaining fields of the video signal by bidirectional prediction using preceding and succeeding ones of the progressive scanning frames for reference. The resultant code can be decoded by an inverse process to recover the interlaced video signal, or each decoded field can be converted to a progressive scanning frame to thereby enable output of a progressive scanning video signal. Enhanced accuracy of motion prediction for inter-frame encoding can thereby be achieved, and generation of encoded aliasing components suppressed, since all reference pictures are progressive scanning frames rather than pairs of fields constituting interlaced scanning frames.

A lossless image encoding / decoding method and apparatus. The lossless color image encoding apparatus includes a motion prediction image generator estimating a motion between a previous image and a current image and outputting a corresponding prediction image, a residue generator generating a temporal residue corresponding to a difference between a prediction image generated by the motion prediction image generator and the corresponding block of the current image with respect to different components of the color image, a prediction residue generator generating prediction residues by defining a linear-transformed value of one residue among the different components of the color image output from the residue generator as a predictor and using differences between each of the residues of the other components and the predictor, and an entropy encoder receiving the residue forming the predictor from the residue generator and the prediction residues from the prediction residue generator and generating a bitstream. Encoding methods, decoding apparatuses, and decoding methods can be implemented similarly.

The technology of the 4D-GIS system deploys a GIS-based algorithm used to determine the location of a moving target through registering the terrain image obtained from a Moving Target Indication (MTI) sensor or small Unmanned Aerial Vehicle (UAV) camera with the digital map from GIS. For motion prediction the target state is estimated using an Extended Kalman Filter (EKF). In order to enhance the prediction of the moving target's trajectory a fuzzy logic reasoning algorithm is used to estimate the destination of a moving target through synthesizing data from GIS, target statistics, tactics and other past experience derived information, such as, likely moving direction of targets in correlation with the nature of the terrain and surmised mission.

Joint coding of depth map video and texture video is provided, where a motion vector for a texture video is predicted from a respective motion vector of a depth map video or vice versa. For scalable video coding, depth map video is coded as a base layer and texture video is coded as an enhancement layer(s). Inter-layer motion prediction predicts motion in texture video from motion in depth map video. With more than one view in a bit stream (for multi view coding), depth map videos are considered monochromatic camera views and are predicted from each other. If joint multi-view video model coding tools are allowed, inter-view motion skip issued to predict motion vectors of texture images from depth map images. Furthermore, scalable multi-view coding is utilized, where interview prediction is applied between views in the same dependency layer, and inter-layer (motion) prediction is applied between layers in the same view.

Shape information coding device for interlaced scanning video and method in which the shape information coding device and method can detect an amount of motion of object video, on coding of interlaced scanning video, select field or frame coding mode in accordance with the detected result, perform motion compensation in a field unit if the selected coding mode is the field mode, and perform motion compensation in a frame unit if the selected coding mode is the frame mode. In addition, the present invention can construct one frame with two fields, upon coding of shape information for the interlaced scanning video, and then determine a motion vector predictor for shape by using motion information of adjacent block so as to perform an effective coding of the shape information motion information. At this time, the coding efficiency can be improved by a method contemplating preceding a motion vector having the same motion prediction mode as the current motion vector for the motion vector predictor for shape having a high similarity and determining the motion vector predictor for shape and by a method contemplating performing coding of the field block type information and the filed discrimination information for one field of the two fields.

A scalable encoding and decoding method and apparatus based on color information of moving pictures are provided. The color video encoding method comprises: generating an encoded luminance bitstream by encoding a luminance component using a motion prediction based encoding method; and generating at least one encoded chrominance bitstream by encoding at least one color format chrominance component using a motion vector generated by the motion prediction based encoding method. Using this method, storage, transmission, and reproduction of a moving picture can be efficiently performed by scalably encoding the moving picture according to a color format in which the moving picture is encoded.

A motion estimation apparatus and a method considers a correlation between blocks. The motion apparatus includes a full search unit which divides a current frame / field into blocks of predetermined size and estimates an arbitrary motion vector of each block by a full search algorithm; a candidate motion vector estimating unit which computes a plurality of motion prediction error values by applying a block matching algorithm (BMA) to a current block and estimates candidate motion vectors from motion prediction error values below a predetermined threshold; a motion compensating unit which computes a correlation between respective candidate motion vectors and the motion vectors of adjacent blocks and compensates one among the candidate motion vectors to a final motion vector of the current block based on the computed correlation. By estimating motion vector of the current block in consideration of the correlation between the blocks, images free of block artifact can be provided.

A disparity prediction stage and a motion prediction stage predict a disparity vector and a motion vector by extending a MPEG-2 structure into a view axis and using spatial / temporal correlation. A disparity / motion compensation stage compensates an image reconstructed by the disparity prediction stage and the motion prediction stage by using a sub-pixel compensation method. A residual image encoding stage performs an encoding to provide a better visual quality and a three-dimensional effect of an original image and the reconstructed image. A bit rate control stage controls a bit rate for assigning an effective amount of bit to each frame on the reconstructed image according to a bit rate. An entropy encoding stage generates a bit stream on multi-view video source data according to the bit rate.

A scalable encoding and decoding method and apparatus based on color information of moving pictures are provided. The color video encoding method comprises: generating an encoded luminance bitstream by encoding a luminance component using a motion prediction based encoding method; and generating at least one encoded chrominance bitstream by encoding at least one color format chrominance component using a motion vector generated by the motion prediction based encoding method. Using this method, storage, transmission, and reproduction of a moving picture can be efficiently performed by scalably encoding the moving picture according to a color format in which the moving picture is encoded.

A method of encoding video data using soft decision quantization makes use of iterative encoding to provide the ability to optimize encoding across different functional elements in a hybrid video encoder. Iterative encoding is used to allow quantization step size, motion prediction and quantization levels to be optimized despite their interrelated nature.

A motion vector estimation circuit (101) interpolates, with sub-pixel precision, a prediction block indicated by a motion vector estimated with integer-pixel precision as well as a region around the prediction block within a search area in a reference picture, using a 2-tap pixel interpolator (605), and estimates two or more motion vectors indicating positions of prediction blocks having high correlation with a current block to be coded, within the interpolated region. A motion compensation circuit (102) interpolates, with sub-pixel precision, each of the prediction blocks indicated by the estimated motion vectors, using a 6-tap pixel interpolator (901), compares the coding costs of the interpolated prediction blocks, and determines a motion vector indicating a position of a prediction block having highest correlation with the current block, from among the estimated motion vectors. As mentioned above, the number of motion vector candidates is narrowed down by sub-pixel precision motion prediction using a reference image created by a 2-tap filter, and then motion compensation is performed on these motion vector candidates using a 6-tap filter. Therefore, it becomes possible to achieve moving picture compression performance as high as sub-pixel precision motion prediction using a reference image created by a 6-tap filter.

A display apparatus includes a display panel; a motion estimator to divide a current frame into a plurality of blocks having a predetermined size, to calculate a plurality of motion prediction error values by comparing a current block for estimating a motion thereof with a searching region set in a previous frame among a plurality of blocks in the previous frame, and to estimate a provisional motion vector of the current block according to the plurality of motion prediction error values; a pattern determiner to determine whether the current block includes a pattern image according to the plurality of motion prediction error values; a compensation motion vector creator to create a compensation motion vector for the current block according to the plurality of motion prediction error values when the current block is determined to include the pattern image by the pattern determiner; a motion vector selector to select the compensation motion vector as a final motion vector of the current block when the current block is determined to include the pattern image by the pattern determiner, and to select the provisional motion vector as the final motion vector of the current block when the current block is not determined to include the pattern image by the pattern determiner; a motion compensator to create an intermediate frame according to the final motion vector and to insert the intermediate frame between the current frame and the previous frame; and a panel driver to display the previous frame, the intermediate frame, and the current frame on the display panel in sequence.

The invention discloses a vehicle relay tracking method in multi-camera scene. In the method, multiple cameras cooperate, and real time continuous tracking on vehicle in a multi-camera covering domain is realized in a complex scene. Firstly, image registration is carried out on a traffic pavement image obtained by multiple cameras by applying SIFT characteristic and RANSAC algorithm, and an L-M (Levenberg-Marquardt) algorithm is adopted to optimize an RANSAC transformation matrix, so as to form a pavement panorama image; secondly, a layering vehicle tracking method which is based on Camshift algorithm and a motion predictor is provided, so as to solve the problems of vehicle overlapping, partial obscuring and real time tracking; and finally a multi-camera target handoff method based on overlapped region boundary is provided, and a next camera is triggered when the algorithm detects that the target enters into the overlapped region of two cameras, so as to realize vehicle relay tracking. The invention can be widely applied to intelligent monitoring system in outdoor scene or suspicious vehicle continuous tracking system and has wide market prospect and application value.

The invention discloses a vehicle multi-target detection and trajectory tracking method based on re-identification, and belongs to the field of computer vision technology and video monitoring. The method comprises the following steps that firstly, a model capable of effectively extracting vehicle visual features on each track is trained by utilizing a vehicle re-identification technology; then, vehicle detection is carried out on each frame of image in the camera; and finally, in combination with the vehicle appearance features extracted by the re-identification model, motion prediction and visual similarity discrimination are fused, and single-camera multi-target tracking is executed, so that the driving trajectories of all matched vehicles are obtained. According to the method, multi-target matching of front and rear frames of images is successfully achieved in the aspect of tracking, the problem of tracking target shielding is effectively solved, and the appearance characteristics of the vehicle images shot by the multi-angle camera are extracted by adopting a re-identification technology aiming at the possible instability of algorithm detection performance caused by multiple visual angles and are fused into a tracking scheme, re-identification which occurs again after the tracking target is lost is achieved, and the track tracking capability is further improved.

A method and apparatus for updating motion vector memories used for prediction of motion vectors in a video compression coding / decoding method and system. For a frame composed of N macroblocks in the horizontal direction, only (2N+1) motion vector memories are used to store all motion vectors necessary to motion prediction, and only three memories per macroblock are used to update motion vectors, thereby reducing the size of a circuitry, the amount of computation and the amount of power consumed.

A motion estimation apparatus and a method considers a correlation between blocks. The motion apparatus includes a full search unit which divides a current frame / field into blocks of predetermined size and estimates an arbitrary motion vector of each block by a full search algorithm; a candidate motion vector estimating unit which computes a plurality of motion prediction error values by applying a block matching algorithm (BMA) to a current block and estimates candidate motion vectors from motion prediction error values below a predetermined threshold; a motion compensating unit which computes a correlation between respective candidate motion vectors and the motion vectors of adjacent blocks and compensates one among the candidate motion vectors to a final motion vector of the current block based on the computed correlation. By estimating motion vector of the current block in consideration of the correlation between the blocks, images free of block artifact can be provided.

The invention discloses a vehicle tracking method and a vehicle tracking system. The method comprises the following steps: selecting a target suitable for being tracked as a new tracking target from a vehicle detection result, and initializing historical characteristic information of the tracking target; predicating the track position and scope of the tracking target in a current frame according to the known motion information of the tracking target; using a scanning window with a set size to scan within the predication scope of the tracking target and reserving corresponding areas of the scanning window, meeting a code word matching condition, as candidate frames; evaluating the confidence coefficient of each candidate frame as a final tracking result and taking the candidate frame with the highest confidence coefficient as the tracking result of the tracking target in the current frame; correcting the tracking result; if continuing to track the tracking target, then updating the historical characteristic information of the tracking target according to the information of the tracking result of the current frame and then turning to the step of predicating motion, otherwise, stopping tracking. The vehicle tracking method provided by the invention is low in calculation amount and is higher in accuracy and continuity.

The invention provides a method for tracking a small target with high precision under a complex background and a low signal-to-noise ratio (SNR). The method comprises pre-treating an image under the complex background and low SNR, portioning and extracting the target based on a target adaptive threshold of the binomial distribution judgment rule, adopting a curve fitting algorithm based on Kalmanfilter thinking improvement to carry out motion prediction on the target, using data fusion of infrared and visible light transducers to improve detection probability of the target and reduce false-alarm probability, and when the shape of the target alters, using a shape of which edge characteristics are normalized to identify and seek characteristic invariables so as to achieve precise tracking of the target.

A method for encoding / decoding high-resolution image and a device for performing the same set the size of an extended macro-block as the size of a prediction unit to be encoded, according to a temporal frequency feature or a spatial frequency feature found therebetween at least one picture to be encoded, perform motion prediction and motion compensation using the set prediction unit size unit, and perform the conversion thereof. Also, a macro-block having 32×32 pixel or 64×64 pixel size is divided into at least one partition based on an edge, and encoding is performed on each of the divided partitions afterwards. Therefore, encoding efficiency for high definition (HD) or higher resolution images is enhanced.

A video encoding / decoding method and apparatus is disclosed that can efficiently compress / decompress motion vectors in a video codec including a hierarchical temporal level decomposition process. The video encoding method including a hierarchical temporal level decomposition process involves obtaining a predicted motion vector of a second frame, which exists at a present temporal level, from a first motion vector of a first frame that exists at a lower temporal level; obtaining a second motion vector of the second frame by performing a motion estimation in a predetermined motion search area using the predicted motion vector as a start point; and encoding the second frame using the obtained second motion vector.

The invention discloses a target tracking method and a related device. The target tracking method and the related device are used for achieving real-time tracking and processing of a target. The target tracking method comprises the steps of according to a position of the target in a video monitoring image of a previous frame, using a motion predicting model built for the target for predicting positions of the target in a video monitoring image of a current frame, obtaining predicted positions of the target, conducting target detecting in an image area where the predicted positions are distributed according to a detecting model built for the target, obtaining detected positions of the target, conducting target tracking in the image area where the predicted positions are distributed according to a tracking model built for the target, obtaining tracked positions of the target, conducting weight fusion on the detected positions and the tracked positions according to an image position overlapping ratio, obtaining the tracked positions of the target in the video monitoring image of the current frame, adjusting an intelligent video monitoring device according to the tracked positions of the target in the video monitoring image of the current frame, and achieving tracking of the target.

The present invention relates to an image processing device and method, and program, wherein compression efficiency can be improved.With regard to a luminance block AY of 4×4 pixels, motion prediction and compensation processing is performed on the luminance signals using a template region BY which is configured of decoded pixels and is adjacent to the block AY, thereby obtaining motion vector information VY. a color difference TP motion prediction / compensation unit performs motion prediction on a 2×2 pixel color difference block AC regarding color difference signals Cb and Cr, using a template region BC which is configured of decoded pixels and is adjacent to a luminance block AC, with a range E, centered on motion vector information VY′ obtained by scaling the motion vector information VY, as the range of searching. The present invention can be applied to an image encoding device which performs encoding with the H.264 / AVC format, for example.

A video encoding / decoding apparatus and method for color images include a first motion prediction unit that generates a first prediction residue image of an input image on a basis of a first motion prediction result of the input image. An image information detection unit sets a predetermined color component of an R-G-B image to a reference color component and determines whether the input image is a Y-Cb-Cr image or an R-G-B image and whether a color component is the reference color component. A second motion prediction unit performs motion prediction for the first prediction residue image and generates a second prediction residue image if the input image is the R-G-B image and the color component of the input image is not the reference color component.

An encoding method, which achieves encoding efficiency, and good picture quality encoding even when there exists a picture in which a scene change occurs within an interlaced frame, is provided. A moving pictures encoding method treats a frame of interlaced image input signals as a picture, and performs prediction and encoding for this picture in macro-block units from a picture of both a forward picture, which is temporally in the past, and a backward picture, which is in the future. When performing encoding in accordance with the above-mentioned bi-directional picture, the method performs inter-field motion prediction, which treats as a unit a field, which divides each picture in macro-blocks into either odd numbers or even numbers of pixel scanning lines of this frame, and as a prediction mode, selectively switches in picture units between using prediction from a forward field motion vector for one field, and using prediction from a backward field motion vector for the other field, generates a predictive picture corresponding to the selected prediction mode, and encodes the input signal using the generated predictive picture.

A device, system and method for motion vector prediction in scalable video coding. Embodiments of the present invention may determine a predictive motion vector in scalable video coding by obtaining current layer motion vectors; determining a final base layer motion vector; and calculating a predictive motion vector based on the current layer motion vectors and the final base layer motion vector. A similarity or consistency of neighboring motion vectors at a current layer and a reliability of motion vector prediction using neighboring motion vectors at a base layer may be used to determine the predictive motion vector.

The usual coding order according to which the reference view is coded prior to the dependent view, and within each view, a depth map is coded subsequent to the respective picture, may be maintained and does lead to a sacrifice of efficiency in performing inter-view redundancy removal by, for example, predicting motion data of the current picture of the dependent view from motion data of the current picture of the reference view. Rather, a depth map estimate of the current picture of the dependent view is obtained by warping the depth map of the current picture of the reference view into the dependent view, thereby enabling various methods of inter-view redundancy reduction more efficiently by bridging the gap between the views. According to another aspect, the following discovery is exploited: the overhead associated with an enlarged list of motion predictor candidates for a block of a picture of a dependent view is comparatively low compared to a gain in motion vector prediction quality resulting from an adding of a motion vector candidate which is determined from an, in disparity-compensated sense, co-located block of a reference view.