Abstract: The present application discloses a method and apparatus for generating a panoramic image. A cuboid three-dimensional image of each local space is determined according to an original two-dimensional image of each local space in the overall space and a preset cuboid model corresponding to each local space, and then a three-dimensional panoramic image of the overall space is generated according to all determined cuboid three-dimensional images. Since the three-dimensional panoramic image of the overall space is generated according to the cuboid three-dimensional images of all local spaces, the overall space may be visually viewed at a three-dimensional angle of view to achieve the three-dimensional real-scene effect.

Abstract: An image collection device for light splitting and fusion is provided. In the image collection device, a light splitter splits incident light into a visible light and a non-visible light; a visible spectrum imaging module performs photosensitive imaging according to the visible light split by the light splitter to form a first visible light image; a non-visible spectrum imaging module performs photosensitive imaging according to the non-visible light split by the light splitter to form a first non-visible light image; a registration unit performs position registration on the first visible light image and the first non-visible light image to obtain a target visible light image and a second non-visible light image; a pre-processing synthesizing unit performs brightness adjustment on the second non-visible light image to obtain a target non-visible light image; a fusion unit performs image fusion on the target visible light image and the target non-visible light image to obtain a fused image.

Abstract: A method, apparatus, electronic device, and a system for selecting a to-be-masked region in a video are disclosed. The method includes: obtaining a video to be detected; determining specified target sets in the video through a preset target detection algorithm, wherein each specified target set is a set of pixels of one specified target in video frames of the video; determining whether a specified target corresponding to each specified target set is a sensitive target respectively through a preset recognition algorithm; and using a specified target set as to-be-masked regions in the video when a specified target corresponding to this specified target set is determined as a sensitive target. In this method, specified targets are first determined, and then it is determined whether the specified targets are sensitive targets.

Abstract: The application provides a white balance adjustment method, apparatus, camera, and medium. This method includes: obtaining a current image taken by the camera; determining a brightness value of the image and the acquisition parameter values with which the image is captured by the camera, in which the acquisition parameter values includes the exposure time, the exposure gain and the aperture value with which the image is captured by the camera; determining the first white balance gain, according to brightness value, exposure time, exposure gain and aperture value; calculating a second white balance gain with which the image is captured by the camera, according to the three-primary-color values of the pixel points of the image; adjusting the white balance gain of the camera according to the first white balance gain and the second white balance gain. The white balance gain determined by the embodiment of this application may better compensate for the color difference of the image taken by the camera.

Abstract: The embodiments of the present application disclose a data processing method and system based on cloud storage. The method includes: a cloud management device receiving a data query request sent by a client via a cloud work device, wherein the data query request is used to request for querying media data that has been stored in a cloud domain, the cloud work device is a default storage cloud domain of an IP camera; the cloud management device querying whether the media data collected by the IP camera is stored in a cloud backup device according to the data query request; and if the cloud management device determines that the media data of the IP camera is stored in the cloud backup device according to the data query request, pushing an address of the media data to the cloud work device, wherein the address of the media data is used for the client to request for querying the media data from the cloud backup device.

Abstract: Embodiments of methods and apparatuses for object detection and of computer devices are disclosed.

Abstract: Method, an electronic device and a storage medium for living body detection based on face recognition are disclosed. The method comprises: obtaining to-be-detected infrared image and visible light image; performing edge detection and texture feature extraction on the infrared image, and feature extraction on the visible light image through a convolutional neural network; and determining whether the infrared and visible light images pass living body detection based on results of the edge detection and texture feature extraction on the to-be-detected infrared image, and a result of feature extraction on the to-be-detected visible light image through the convolutional neural network. The method, an electronic device and a storage medium for living body detection based on face recognition combine the advantages of three technologies of edge detection, texture feature extraction and convolution neural network, effectively perform living body detection, and improve the determination accuracy.

Abstract: A zoom method, an image processing method of an imaging device and imaging device are disclosed. The zoom method includes: detecting, when determining to zoom, whether a zoom position of the imaging device is currently in a preset optical zoom area or a preset digital zoom area; compressing, if the zoom position of the imaging device is in the preset optical zoom area and a first image containing a specified target is collected by the image sensor, the first image into a second image, and outputting the second image; selecting, if the zoom position of the imaging device is in the preset optical zoom area, a target sensing area from a sensing area of the imaging sensor according, and cropping a third image collected by the image sensor according to the target sensing area to obtain a fourth image and outputting the fourth image, wherein the fourth resolution of the fourth image corresponds to the target sensing area.

Abstract: A method for outputting notification information, a server and a monitoring system are provided. In the method, a database including a correspondence between feature value models and forewarning levels is constructed in advance; a feature value of the audio information is acquired (S102), the acquired feature value is matched with the feature value models in the database (S103), and then a forewarning level corresponding to the audio information is determined (S104); the notification information is output (S107) when the forewarning level meets a preset condition (S105). It can be seen that, the notification information is output by analyzing the audio information, without determining the active targets in the video image; even if there are many active targets in the scene and the trajectories thereof are confusing, the notification information may still be accurately output.

Abstract: A surveillance method, apparatus, system, electronic device and computer-readable storage medium are provided. In the surveillance method, a non-visible light image and a target image are obtained, wherein the target image is generated from a visible light signal captured during a capture period of the non-visible light image. The method then detects whether an object is present in the non-visible light image. When an object is detected in the non-visible light image, a second location area of the object in a visible light image is determined according to a first location area of the object in the non-visible light image, such that surveillance of the object is implemented based on the visible light image, wherein the visible light image is an image determined based on the target image.

Abstract: A multi-lens camera is disclosed in the embodiment of the present application. The multi-lens camera includes a main casing assembly, lenses, a lens regulator, a supporting mechanism and a transparent cover; wherein the transparent cover is mounted on the main casing assembly, and the lens regulator is mounted within a space formed by the main casing assembly and the transparent cover; the transparent cover includes a flat portion and a curved portion surrounding the flat portion; the lens regulator includes a fixing disc and at least two lens brackets, and each of the lens brackets includes a first bracket for mounting a lens; the first bracket is movably arranged on the fixing disc and is movable along the circumferential direction of the fixing disc. The solution described above can solve the problem of the transparent cover of the multi-lens camera having poor resistance to deformation as described in the background.

Abstract: A data obtaining method and apparatus. The method comprises: determining address information of data to be obtained; judging whether a disk corresponding to the address information of the data to be obtained is a damaged disk or not; 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; 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.

Abstract: An authentication method, system and a camera for person-identity document comparison are provided. The authentication method for person-identity document comparison includes: acquiring multiple face images; obtaining at least one target face image that meets a preset condition from the multiple face images (S101); receiving an ID image obtained by an ID reading support device (S102); comparing the ID image with each target face image to obtain a person-ID document similarity for each target face image respectively (S103); and, if the number of target face images with person-ID document similarities higher than a preset similarity threshold reaches a first preset number, determining that the authentication is successful (S104). The method achieves high real-time performance of person authentication through the person-ID document comparison.

Abstract: Embodiments of the present application provide a method, apparatus, and electronic device for eliminating distortion of a distorted image. Side information components of a distorted image are generated. The distorted image is resulted from image processing on an original image. Side information components represent distortion features of the distorted image with respect to original image. Distorted image color components of the distorted image and the side information components are input into a pre-established convolutional neural network model for convolution filtering to obtain distortion-eliminated image color components. The convolutional neural network model is obtained through training based on a preset training set. The training set comprises original sample images, distorted image color components of multiple distorted images corresponding to each of the original sample images, and side information components of each of the distorted images.

Abstract: A method and device for improving data storage security, related to the technical field of cloud storage is disclosed. The method includes: detecting access counts of user data sets in a cloud storage resource pool, where the user data sets in the cloud storage resource pool are data obtained by encoding with an erasure coding algorithm of a first security level; determining a first user data set whose access count in the cloud storage resource pool meets a preset condition; obtaining a second security level according to attribute information of the cloud storage resource pool, wherein the attribute information includes the first security level and an increment for security step; and re-encoding the first user data set with an erasure coding algorithm of the second security level to obtain re-encoded first user data sets.

Abstract: A power supply circuit, a relay device and a Power over Ethernet system related to the electronic technical field are provided. In the power supply circuit, each rectifier module has its positive output end connected to a positive supply pin, and a negative output end connected to a first end of a switch control module. The positive supply pin is connected to a positive terminal of a relay circuit in the relay device. The switch control module has a second end connected to a negative supply pin, and a control end connected to the positive supply pin. The negative supply pin is connected to a negative terminal of the relay circuit. The switch control module allows conduction between the first end and the second end when the rectifier module outputs a voltage greater than a preset threshold.

Abstract: The embodiments of the present application provide a method, apparatus and system for video display and a camera. The camera includes one wide-field lens assembly and a wide-field sensor corresponding to the wide-field lens assembly; at least one narrow-field lens assembly and narrow-field sensor corresponding to the narrow-field lens assembly, wherein an angle of view of the wide-field lens assembly is greater than an angle of view of the narrow-field lens assembly, and for a same target, a definition of the wide-field sensor is smaller than that of the narrow-field sensor; and a processor configured for performing human body analysis on the wide-field image and performing face analysis, head and shoulder analysis or human body analysis on at least one frame of narrow-field image. The technical solution provided by the embodiments of the present application can reduce the workload of installing and adjusting the cameras during monitoring, the performance requirements for the server, and monitoring costs.