Abstract: A signal transmission system comprises: a power supply, a power sourcing device and a powered device connected to each other through a coaxial cable; the power sourcing device comprises a first active inductor module for receiving a DC signal transmitted by the power supply, and transmitting the DC signal to the powered device through the coaxial cable, a first capacitor module for receiving a superposed signal transmitted through the coaxial cable, and transmitting the superposed signal to a signal processing module; and the powered device comprises a second active inductor module for receiving, through the coaxial cable, the DC signal, and transmitting the DC signal to a signal acquiring module for acquiring a superposed signal, a second capacitor module for transmitting the superposed signal to the power sourcing device through the coaxial cable, and the signal acquiring module is for transmitting the superposed signal to the second capacitor module.

Abstract: A method of compositing video signals includes: obtaining at least two video signals to be composited; determining a multiplier point mode corresponding to each of the at least two video signals; performing a byte size adjustment on the at least two video signals respectively according to the multiplier point mode corresponding to each of the at least two video signals; performing a composite modulation on bytes corresponding to the at least two video signals after the byte size adjustment, and outputting composite-modulated data through a target signal interface of an analog-to-digital conversion chip.

Abstract: Embodiments of the present application provide an image fusion apparatus and an image fusion method. The image fusion apparatus includes: a light acquisition device, an image processor, and an image sensor having four types of photosensitive channels. The four types of photosensitive channels include red, green and blue RGB channels and an infrared IR channel. The light acquisition device is configured to filter a spectrum component of a first predetermined wavelength range from incident light to obtain target light. The first predetermined wavelength range is a spectrum wavelength range in which a difference between the responsivities of the RGB channels and the responsivity of the IR channel in the image sensor in the infrared band is higher than a first predetermined threshold. The image sensor is configured to convert the target light into an image signal through the RGB channels and the IR channel.

Abstract: An embodiment of the present application provides an image analysis method and device, and the method includes: receiving target information sent by a target image acquisition device; wherein the target information includes at least: a first image acquired by the target image acquisition device, and the identification information of the target image acquisition device; obtaining target area information corresponding to the identification information of the target image acquisition device according to a correspondence between pre-stored identification information of each image acquisition device and respective area information; in the first image, determining a second image corresponding to the target area information, and analyzing the second image.

Abstract: The embodiments of the present disclosure disclose a method and apparatus for reading or writing disk data. The disk includes a primary metadata block storing metadata, a backup metadata block for backing up metadata, and at least one object block group. Each object block group includes a data block storing object data, and an index block storing an index of the object data. The primary metadata block is located at a head of the disk; and the backup metadata block is located at a tail of the disk. The at least one object block group is located between the primary metadata block and the backup metadata block. In reading or writing object data, the index in the index block, the metadata in the primary metadata block and the metadata backed up in the backup metadata block can be separately operated. By applying the embodiments of the present disclosure, the life and security of the disk are increased.

Abstract: A variable magnification method, apparatus and a computer-readable storage medium is disclosed. The method comprises: acquiring angle parameters for the current position of a camera after receiving a variable magnification instruction; wherein, the variable magnification instruction is configured for instructing the camera to perform the variable magnification based on a target magnification ratio parameter; querying target historical focusing information based on the angle parameters for the current position, wherein, the target historical focusing information comprises a historical magnification ratio parameter and a historical in-focus parameter of the camera; querying a target variable magnification curve based on the historical magnification ratio parameter and the historical in-focus parameter; and controlling the camera to perform the variable magnification based on the target variable magnification curve.

Abstract: A data obtaining method and apparatus. The method comprises: determining address information of data to be obtained (S101); judging whether a disk corresponding to the address information of the data to be obtained is a damaged disk or not (S102); if the disk corresponding to the address information of the data to be obtained is not a damaged disk, obtaining the data to be obtained according to the address information of the data to be obtained to obtain current data (S103); if the disk corresponding to the address information of the data to be obtained is a damaged disk, determining the address information of next data to be obtained, and returning to the step of judging whether a disk corresponding to the address information of the data to be obtained is a damaged disk or not (S104). According to the method, undamaged data in a disk array can be obtained when a ultra-redundant bad disk occurs.

Abstract: Embodiments of the present application provide a method and an apparatus for detecting a usage status of a parking space, an electronic device, and a storage medium, which are applied to the technical field of intelligent video monitoring. The method comprises: obtaining a monitored image of a to-be-detected parking space (S801); identifying lane line position information of the to-be-detected parking space from the monitored image (S802); identifying vehicle information from the monitored image (S803), wherein the vehicle information comprises vehicle position information; determining a usage status of the to-be-detected parking space based on a positional relationship between the lane line position information and the vehicle position information (S804).

Abstract: Disclosed is an image analysis method and apparatus, upon a program crash on a computing node, the central node may acquire the image analysis task that results in the crash, split the image analysis task into multiple image analysis sub-tasks, transmit sequentially the image analysis sub-tasks to the computing node until a program crash occurs thereon. The central node then acquires an error image analysis sub-task that results in the crash on the computing node, and discard the error image analysis sub-task. The image analysis method can discard only the crash resulting image from an image analysis task, while other images in the image analysis task are retained. As such, fewer images are lost, so that the duration of a frame loss during video playback can be reduced and the reliability of image analysis can be improved. The approach is applicable for image analysis.

Abstract: The embodiments of the present application disclose a picture storage method, device and a video monitoring system, which relate to video monitoring technology field and are applied to a storage server in the video monitoring system.

Abstract: Embodiments of the present application provide a method and apparatus for updating an online self-learning event detection model.

Abstract: The embodiments of the present application disclose a license plate correction method and apparatus. A to-be-corrected license plate and a corresponding to-be-corrected vehicle-passing record are first determined. Similar license plates of the to-be-corrected license plate are determined. The vehicle-passing record for each similar license plate is matched with the to-be-corrected vehicle-passing record, thereby determining a matching probability of each similar license plate and the to-be-corrected license plate. A similar license plate is determined as a corrected license plate, wherein the matching probability between this similar license plate and the to-be-corrected license plate is highest. Therefore, a license plate that was incorrectly recognized can be corrected.

Abstract: Disclosed are systems and methods for acquiring height of a stereo camera, applied to the stereo camera. An example method includes acquiring angle information of a stereo camera, with the angle information including a pitch angle and a tilt angle. A ground image of a scenario where the stereo camera is deployed is captured and depth information of each pixel on the ground image is determined. A three-dimensional point set based on depth information of each pixel on the ground image is established, with the three-dimensional point set including coordinate information of each three-dimensional point corresponding to each pixel of the ground image. Height of the stereo camera is determined based on the angle information and the three-dimensional point set.

Abstract: A measurement method and apparatus are provided. The measurement method is applicable to an image acquisition device, and includes: acquiring image data to generate an image data file (S101); capturing an object to be measured in an image corresponding to the image data file (S102); obtaining a first distance between a horizontal line going through a lowest point of the object to be measured in the image and a horizontal line going through a center point of the image (S103); and calculating a second distance between the object to be measured and the image acquisition device based on the first distance, an installation height of the image acquisition device and a pitch angle of the image acquisition device (S104). Compared with the relevant art, the image acquisition device can measure the distance to an object to be measured while achieving relatively low production cost and easy installation. As a result, actual demands can be better satisfied.

Abstract: Embodiments of the present application provide a method and apparatus for displaying objects. In the method, data segments of to-be-stored data are stored in storage objects. A storage object is a minimum unit for data storage. The difference between the number of data segments stored in a storage object and that of another storage object is no more than a first preset threshold. Data segments are equally stored, to the greatest extent, into storage objects. The case that data having segments lost due to failure of a storage object cannot be restored is avoided.

Abstract: The present application discloses a system for video storage and method for video data transmission based on the same. The system for video storage in the present application includes a first control node, a second control node and at least two storage nodes. Each control node includes a signal agent module, and each storage node includes a data agent module. The second control node is configured for starting the signal agent module of the second control node after determining that the first control node is unavailable. The signal agent module of the second control node is configured for transmitting an instruction to the data agent module of a designated storage node based on a service request through a preset virtual IP address. The data agent module of the designated storage node is configured for transmitting video data to the third-party platform according to the received instruction and based on the predetermined signal protocol.

Abstract: Embodiments of application discloses a method and device for determining external parameters of a stereo camera. The method comprises: acquiring ground surface data of a location of the stereo camera; generating, according to three-dimensional coordinates of each pixel in the ground surface data in a camera coordinate system corresponding to the stereo camera, a first plane equation in the camera coordinate system that conforms to the three-dimensional coordinates of the pixels; determining, according to a distance between the origin of the camera coordinate system and the ground surface, a setting height of the stereo camera; and generating, according to the first plane equation, a plane normal vector corresponding to the first plane equation; and determining, according to the plane normal vector, a pitch angle of the stereo camera and an inclination angle of the stereo camera. The external parameters of the stereo camera can be determined without using a reference point in a scene.

Abstract: Embodiments of the present application provide a method and apparatus for generating a panoramic image. The method includes: determining, according to a pre-established mapping relationship, a pixel point in the two-dimensional planar image to which each of grid points in a preset stereoscopic model is mapped, wherein multiple grid points form one grid plane and accordingly, multiple pixel points to which the multiple grid points are mapped form one pixel region; and rendering each of the grid planes by the pixel region corresponding to this grid plane, to obtain a panoramic image. In the solution of the present application, it is not necessary to generate a distortion-corrected image and an overhead image, thereby saving storage resources.

Abstract: Embodiments of the present application provide a character recognition method and device. The method includes obtaining a target image to be analyzed which contains a character (S101); inputting the target image into a pre-trained deep neural network to determine a feature map corresponding to a character region of the target image (S102); and performing character recognition on the feature map corresponding to the character region by the deep neural network to obtain the character contained in the target image (S103). The deep neural network is obtained by training with sample images, a result of labeling character regions in the sample images, and characters contained in the sample images. The method can improve the accuracy of character recognition.