21 results about "Image frame" patented technology

Disclosed is a high resolution image obtaining apparatus and method. The high resolution image obtaining apparatus may divide an input image frame into a background region and foreground region and apply an optimized resolution enhancement algorithm to each region, thereby effectively obtaining a high resolution image frame with respect to the input image frame.

The invention discloses a video-based vehicle tracking method and device. The method comprises: determining a first image frame for tracking a vehicle in a video and using the first image frame to initialize a model; when processing a current image frame, using a determined searching range in a previous image frame to extract image features within the searching range in the current image frame, generates a feature cycle matrix, matching the feature cycle matrix with the current model, and obtaining a matching degree matrix; updating a target position according to a matching degree value of each position of the matching degree matrix to track the vehicle; before generating the model of each image frame, redefining the target size based on the calibration, and zooming the searching range of the previous image frame according to the proportional relation between the target size and the searching range; extracting image features in the searching range in the current image frame, finally generating a model according to the image features, and updating the current model. As the target size of each image frame is updated according to the calibration, the system can track the target in adaptive scales, so that the vehicle tracking is more accurate.

The invention discloses a background modeling method based on a brightness and texture infusion threshold value. The method comprises: a brightness and texture fusion threshold value is calculated; with a VIBE algorithm, all pixel points at one frame of image are classified into two types: foreground pixels and background pixels; Gaussian mixture modeling is carried out on pixel points with changing brightness in a new image frame; and then a threshold value corresponding to each pixel point is updated. According to the method, because the texture and color brightness are fused to form a threshold value and advantages of the Gaussian mixture model and the VIBE algorithm are combined, the background can be extracted accurately under the circumstance that several kinds of external disturbances like an illumination change, slight camera shaking, a dynamic background element exist, the influence on the real moving target by shadows can be suppressed to a certain extent, the anti-interference capability is enhanced, the image frame processing is accelerated, and the moving target segmentation precision is improved effectively.

A method of generating a gain of an image frame according to a look up table of gain which is set up based on luminance sensitivity of human eyes is proposed. The method includes setting a gain of an image frame to 1, scanning images of a plurality of front rows of the image frame, averaging the images of the plurality of the front rows of the image frame to generate an average value of the images of the plurality of the front rows of the image frame, finding a gain from the look up table of gain according to the average value of the images of the plurality of the front rows of the image frame, and adjusting remaining rows of the image frame according to the gain to generate images of the remaining rows of the image frame.

The invention discloses a data processing method and a data processing system for remote display. The method of a sending end comprises the steps of S1.1, acquiring an original image needing to be remotely displayed; S1.2, generating difference data, undamaged data and damaged data according to the original image, wherein each frame of undamaged data is corresponding to N frames of damaged data, and each frame of damaged data is corresponding to one frame of difference data; and S1.3, sending the difference data, the undamaged data and the damaged data to a receiving end. The method of the receiving end comprises the steps of S2.1, acquiring the difference data, the damaged data and the undamaged data; S2.2, generating a display image frame according to the difference data, the damaged data and the undamaged data; and S2.3, displaying the display image frame. According to the method and the system provided by the invention, both undamaged image display and high real-time image display can be achieved, three requirements of low bandwidth, good user experience and low CPU utilization rate can be simultaneously met, and the advantage of being sufficiently close to a local PC experience display effect is achieved.

The embodiment of the invention provides a video management and retrieval method, a device, electronic equipment and a storage medium. The video management method is applied to an ATM host, and comprises the following steps: receiving a target command sent by a client device; judging whether the target command is one of at least one predetermined command or not; wherein any predetermined command is a command generated by the client device when the client device detects that the user performs a predetermined transaction operation on the client device; wherein different predetermined transactionoperations correspond to different predetermined commands; if so, obtaining transaction parameters formed by a predetermined transaction operation corresponding to the target command, and searching atarget image frame from a real-time monitoring video of the client device, the target image frame being an image frame representing the predetermined transaction operation corresponding to the targetcommand; and establishing an association relationship between the transaction parameter and the target image frame. According to the embodiment of the invention, the monitoring video stored in the ATM host can be intelligently managed, so that a retrieval basis is provided for intelligent video retrieval.

The invention is applicable to the technical field of computer vision, and provides a target object tracking method, a terminal device and a medium. The method comprises the following steps: respectively obtaining view angle images of a target object under multiple view angles; initializing a corresponding target tracking model for each visual angle image; loading a video image sequence to be tracked; in the process of loading each image frame, selecting a reliability model from each target tracking model, wherein the reliability model is a target tracking model of which the reliability scoremeets a preset condition; and positioning a target object in the current image frame based on the reliability model. According to the invention, tracking monitoring of the target object can be realized based on the multi-view target tracking model, so that a good tracking effect can be achieved in a relatively long time period; in the process of loading each image frame, the reliability model is selected from each target tracking model, and the target object is positioned based on the reliability model, so that the tracking accuracy of the target object is improved.

The invention discloses a scale-adaptive target object updating method and device, and belongs to the field of computer vision. The method comprises the steps: determining an optimal image scale of atarget based on a scale pyramid; updating the target model of a next image frame of the target based on the optimal image scale when the target is not shielded. Because the scale pyramid has a largerscale range, the method can adapt to the severe changes of the target scale. The gray scale distribution features serve as the features used in the estimation of the target scale, and the features aremade into a statistical histogram according to the position and gray scale of target pixels. Because the method gives consideration to the position information of the target, the gray scale distribution features can reflect the characteristics of the target better than a grey level histogram, and can achieve the more accurate estimation of the sale through the features.

A display apparatus including a display panel and a light source module is provided. The display panel displays an image frame according to a light beam. The light source module provides the light beam to the display panel. The light source module includes a light emitting device, a lens module, a reflection device, and a light emitting surface. The light emitting device provides the light beam. The lens module is disposed in a transmission path of the light beam and adjusts the light beam to be focused or dispersed. The reflection device receives the light beam passing from the lens module and reflects the light beam to the light emitting surface. The lens module includes a lens disposed in the transmission path of the light beam and moves relative to the light emitting device to adjust a viewing angle of the light emitting surface.

The invention provides an audition and vision collaborative humanoid robot head orientation method. The method is characterized by mainly comprising the following steps of firstly, acquiring a voice signal through a microphone array and recording time; recognizing by using a human voice recognition method, and counting the number of microphones for collecting human voice; setting a candidate target orientation according to time when the number of the voice microphones is greater than 1; then rotating a camera and acquiring a video; obtaining human face image frames from the video, obtaining a human face recognition result through recognition by means of a human face recognition method, and counting the number of human faces; when the number of the human faces is greater than 1, calculating human face areas and sorting the human face areas; setting candidate target human faces according to the ranking; then, achieving lip movement recognition through a lip movement detection algorithm; setting a target orientation according to the area when the number of the human faces with lip movement is greater than 1; and finally rotating the head of the humanoid robot to realize orientation. According to the method, the humanoid robot can distinguish the human voice from other voices and can accurately interact with the target human voice.