A method for motion estimation, a non-transitory computer-readable storage medium, and an electronic device are provided. The method includes the following. An error between a block to be matched and each of reference blocks is determined to obtain multiple errors. At least one candidate block is determined from the reference blocks according to the multiple errors. A random number range is determined according to a displacement between the block to be matched and each of the reference blocks. Random motion vectors are obtained by using a motion vector between the block to be matched and each of the at least one candidate block as a basic motion vector and random numbers within the random number range as increments. A target motion vector corresponding to the block to be matched is determined according to the random motion vectors.

Apparatus for binning an input value into an array of bins, each bin representing a range of input values and the bins collectively representing a histogram of input values, the apparatus comprising: an input for receiving the input value; a memory for storing the array; and a binning controller configured to: derive a plurality of bin values from the input value according to a binning distribution located about the input value, the binning distribution spanning a range of input values and each bin value having a respective input value dependent on the position of the bin value in the binning distribution; and allocate the plurality of bin values to a plurality of bins in the array, each bin value being allocated to a bin selected according to the respective input value of the bin value.

An imaging system according to the present disclosure includes: an imaging device that is mounted in a vehicle, and captures and generates an image of a peripheral region of the vehicle; and a processing device that is mounted in the vehicle, and executes processing related to a function of controlling the vehicle on the basis of the image. The imaging device includes: a first control line, a first voltage generator that applies a first voltage to the first control line, a first signal line, a plurality of pixels that applies a pixel voltage to the first signal line, a first dummy pixel that applies a voltage corresponding to the first voltage of the first control line to the first signal line in a first period, a converter including a first converter that performs AD conversion on the basis of a voltage of the first signal line in the first period to generate a first digital code, and a diagnosis section that performs diagnosis processing on the basis of the first digital code. The above-described processing device restricts the function of controlling the vehicle on the basis of a result of the diagnosis processing.

Systems, apparatuses, methods, and computer program products are disclosed for providing continuous session authentication and monitoring. An example method includes authenticating, at a first time, a session for a user of the client device based on an authentication image data structure and a plurality of first video frames captured before the first time. The example method further includes extracting sample data from a monitor region for each of a plurality of second video frames captured after the first time and generating motion data based on the extracted sample data. The example method further includes detecting, at a second time, a re-authentication trigger event based on the motion data. Subsequently, the example method includes re-authenticating the session based on the authentication image data structure and a plurality of third video frames captured after the second time.

A signal processing device and an image display apparatus including the same are disclosed. The signal processing device includes a scaler configured to scale input images of various resolutions to a first resolution, a resolution enhancement processor configured to perform learning on the input images and to output a residual image of the first resolution, and an image output interface configured to output an output image of the first resolution based on a scaling image from the scaler and the residual image from the resolution enhancement processor, and the image output interface changes a weight and an application strength of the residual image according to the area of the input image.

Positions of an image capture device during capture of a video may be transferred to a computing device before the video is transferred to the computing device. The positions of the image capture device may be used to determine a viewing window for the video before the video is obtained. The viewing window may be used to present a stabilized view of the video when the video is obtained. For example, a stabilized view of the video may be presented as the video is streamed to the computing device.

A method, system, apparatus, and/or device for adjusting or removing frames in a set of frames. The method, system, apparatus, and/or device may include: associating a first frame of a set of frames with motion data that is captured approximately contemporaneously with the first frame; when a sampling rate of the motion data is greater than a frame rate of the set of frames, aggregating a first sample of the motion data captured at the first frame and a second sample of the motion data captured between the first frame and a second frame of the set of frames to obtain a movement value; when the movement value does not exceed a first threshold value, accepting the first frame from the set of frames; and when the movement value exceeds the first threshold value, rejecting the first frame from the set of frames.

Methods, systems, and apparatus, including computer programs encoded on a computer storage medium, for adjusting of video analytics rules for camera movement. The methods, systems, and apparatus include actions of obtaining a rule that specifies a first set of coordinates applied to a first set of images from a camera, determining an amount and direction of movement of the camera after the rule was obtained, determining, based on the amount and direction of movement of the camera, a second set of coordinates applied to a second set of images captured after the camera moved.

The present disclosure provides a video jitter detection method and an apparatus. The video jitter detection method includes: acquiring a video; inputting the video into a detection model to obtain an evaluation value of the video, where the evaluation value is used to indicate a degree of jitter of the video; where the detection model is a model obtained by training using video samples in a video sample set as inputs and evaluation values of the video samples in the video sample set as outputs. By inputting the video to be detected into the detection model, the evaluation value of the video can be acquired through the detection model, thereby whether the video is jittery is determined, which realizes the video jitter detection end-to-end, and improves the detection accuracy and robustness of video jitter.

Provided is a video recording system (10) configured for capturing an object (5) moving along a path (1) including numerous path sections (2, 3, 4). The video recording system (10) includes a first camera (11) operable to capture the object (5) while moving along a first path section (2) of the path (1), a second camera (12) operable to capture the object (5) moving along a second path section (3) of the path (1), and an acquisition unit (31) connected to the first camera (11) and connected to the second camera (12), the acquisition unit (31) being operable to capture a first video stream (51) from the first camera (11) during a first time interval and to capture a second video stream (51′) from the second camera (12) during a second time interval.