Abstract: The embodiments of the present invention provide training and construction methods and apparatus of a neural network for object detection, an object detection method and apparatus based on a neural network and a neural network. The training method of the neural network for object detection, comprises: inputting a training image including a training object to the neural network to obtain a predicted bounding box of the training object; acquiring a first loss function according to a ratio of the intersection area to the union area of the predicted bounding box and a true bounding box, the true bounding box being a bounding box of the training object marked in advance in the training image; and adjusting parameters of the neural network by utilizing at least the first loss function to train the neural network.

Abstract: An information processing method comprises: acquiring an original webpage; parsing the original webpage to determine a set of candidate images; detecting whether at least one candidate image in the set of candidate images contains a face; determining a target face from at least one detected face, and determining a candidate image corresponding to the target face as a target image; analyzing the target face to obtain at least one content feature of the original webpage, wherein the at least one content feature includes at least one of a face attribute feature and a personal identity feature; determining display contents matching the at least one content feature based on the at least one content feature; inserting the display contents into a target area corresponding to the target image in the original webpage in a form of a dialog box to acquire a target webpage; and outputting the target webpage.

Abstract: This application provides a video monitoring method and process. The video monitoring method comprises: obtaining first and second video data of a scene being monitored; detecting at least one target object based on the first video data, and determining parameter information of the at least one target object in at least one frame of the first video data, the parameter information including a first position; determining, based on coordinate transforming relationship between the first and the second video data, a second position of the at least one target object in a corresponding frame in the second video data according to the first position; and extracting, based on the second video data, feature information of the at least one target object located in the second position, wherein orientations with which the first and the second video acquiring module acquire video data with respect to a ground plane are different.

Abstract: The present invention discloses an ultra-low frequency (ULF) tuned liquid mass damper, and relates to the technical field of bridge vibration control. The tuned damper includes a damping box which is provided with a spring set secured at one end to the damping box, the other end connected with a mass block. The damping box is filled with damping liquid, and the mass block is completely immersed or partially immersed in the damping liquid. The damping ratio of the ULF tuned liquid mass damper ranges from 3% to 35%, and the inherent frequency 0.05 to 0.5 Hz. The ULF tuned liquid mass damper, according to the present invention, can fully utilize the additional mass of the damping liquid, and with the buoyancy effect of the liquid, maintain the frequency of structural vibration below 0.

Abstract: The application provides a liveness detection method capable of implementing liveness detection on a human body, and a liveness detection system that employs the liveness detection method. The liveness detection method comprises: obtaining video data acquired via a video acquisition module; determining, based on the video data, a feature signal of an object to be detected; judging whether the feature signal meets a first predetermined condition, and if the feature signal meets the first predetermined condition, identifying that the object to be detected is a living body, wherein the feature signal is indicative of eye movement of the object to be detected.

Abstract: A flexible touch panel, a method of manufacturing the same, and a flexible touch display including the same are disclosed. The flexible touch panel includes: a flexible substrate including a flexible substrate body and at least one flexible substrate extension, the flexible substrate body being contiguous with the at least one flexible substrate extension; a plurality of touch units on the flexible substrate body; and a plurality of signal lines which are disposed on the flexible substrate and electrically connected to the plurality of touch units, wherein each of the signal lines includes a first portion on the flexible substrate body and a second portion on the flexible substrate extension so that each of the signal lines is directly connectable to an external driving circuit, and some of the signal lines include a material different from others of the signal lines.

Abstract: This application provides a video monitoring method and device. The video monitoring method includes: obtaining video data; inputting at least one frame in the video data into a first neural network to determine object amount information of each pixel dot in the at least one frame; and executing at least one of the following operations by using a second neural network: performing a smoothing operation based on the object amount information in the at least one frame to rectify the object amount information; determining object density information of each pixel dot in the at least one frame based on scene information and the object amount information; predicting object density information of each pixel dot in a to-be-predicted frame next to the at least one frame based on the scene information, the object amount information, and association information between the at least one frame and the to-be-predicted frame.

Abstract: The present invention discloses an ultra-low frequency (ULF) tuned liquid mass damper, and relates to the technical field of bridge vibration control. The tuned damper includes a damping box which is provided with a spring set secured at one end to the damping box, the other end connected with a mass block. The damping box is filled with damping liquid, and the mass block is completely immersed or partially immersed in the damping liquid. The damping ratio of the ULF tuned liquid mass damper ranges from 3% to 35%, and the inherent frequency 0.05 to 0.5 Hz. The ULF tuned liquid mass damper, according to the present invention, can fully utilize the additional mass of the damping liquid, and with the buoyancy effect of the liquid, maintain the frequency of structural vibration below 0.

Abstract: The application provides a liveness detection method capable of implementing liveness detection, and a liveness detection system that employs the liveness detection method. The liveness detection method comprises: irradiating an object to be detected with structured light; obtaining first facial image data of the object to be detected under irradiation of the structured light; determining, based on the first facial image data, a detection parameter that indicates a sub-surface scattering intensity of the structured light on a face of the object to be detected; and determining, based on the detection parameter and a predetermined parameter threshold, whether the object to be detected is a living body.

Abstract: The instant invention describes macrocyclic compounds having therapeutic activity, and the mechanism and methods of treating disorders such as autoimmune diseases, inflammation, and cancer, tumors and cell proliferation related disorders.

Abstract: Provided are an image processing method and a client device, an image authentication method and a server device. The image processing method comprises: photographing an object to obtain a first image; sending a key acquiring request to a server and receiving a key from the server; generating a second image based on the key and the first image; and sending the second image to the server. The image authentication method comprises: receiving a key acquiring request from a client; generating a key and sending the key to the sever in response to the key acquiring request; receiving an image for authentication from the client; and authenticating the image for authentication by using the key.

Abstract: There are provided a liveness detection method and device. The liveness detection method comprises: generating a random action instruction sequence including at least one random action instruction; sequentially sending a random action instruction in the random action instruction sequence; and determining whether the sequentially sent random action instruction in the random action instruction sequence is sequentially executed by a living body based on detection information of at least two sensors, wherein the at least two sensors comprise an image sensor and at least one non-image sensor; and determining that the liveness detection is succeeded if the sequentially sent random action instruction in the random action instruction sequence is sequentially executed by the living body. Accuracy of liveness detection can be improved by adopting the random action sequence and by combining images captured by the image sensor and information detected by the non-image sensor.

Abstract: There are provided a focusing point determining method and apparatus. The focusing point determining method comprises: obtaining a view-finding image within a view-finding coverage; identifying a significance area in the view-finding image; and extracting at least one focusing point from the identified significance area. By identifying the significance area in the view-finding image and extracting at least one focusing point from the identified significance area, the focusing point determining method and apparatus can ensure accuracy of a selected focusing point to a certain extent, so as to ensure accuracy of focusing.

Abstract: A method and an apparatus for measuring a speed of an object are provided, the method comprising: acquiring, for each image frame of at least two image frames in an image sequence, image information of the image frame, wherein the image information comprises depth information; detecting at least one object in the image frame based on the depth information to obtain an object detection result for the image frame; tracking the at least one detected object based on the object detection result of each of the at least two image frames to obtain an object tracking result; and calculating the speed of the at least one detected object based on the object tracking result and a time difference between the at least two image frames.

Abstract: A disclosed face detection system (and method) is based on a structure of a convolutional neural network (CNN). One aspect concerns a method for automatically training a CNN for face detection. The training is performed such that balanced number of face images and non-face images are used for training by deriving additional face images from the face images. The training is also performed by adaptively changing a number of trainings of a stage according to automatic stopping criteria. Another aspect concerns a system for performing image detection by integrating data at different scales (i.e., different image extents) for better use of data in each scale. The system may include CNNs automatically trained using the method disclosed herein.

Abstract: Provided are a driving assistance information generating method and device, and a driving assistance system, which relate to a field of vehicle driving assistance technique. The driving assistance information generating method comprises: obtaining a depth image acquired by a depth camera and a scene image acquired by an imaging camera, the depth camera and the imaging camera being mounted on a vehicle in a manner of being registered and matched with each other, and a coverage of the depth camera and a coverage of the imaging camera being at least partially overlapped; detecting positions of respective objects appearing in the scene image by using the depth image and the scene image; and generating driving assistance information of the vehicle based on positions of the respective objects.

Abstract: An object detection method and an object detection apparatus are provided. The object detection method includes: mapping at least one image frame in an image sequence into a three dimensional physical space to obtain three dimensional coordinates of each pixel in the at least one image frame; extracting a foreground region in the at least one image frame; segmenting the foreground region into a set of blobs; and detecting, for each blob in the set of blobs, an object in the blob through a neural network based on the three dimensional coordinates of at least one predetermined reference point in the blob, to obtain an object detection result.

Abstract: A method and apparatus for detecting a movement direction of a target object are provided. The method comprises: acquiring a video sequence of the target object, and determining positions of the target object in a plurality of image frames of the video sequence; setting a plurality of base vectors within a coverage range of an image collection apparatus capturing the video sequence, wherein an angle between each of the base vectors and a reference vector set according to a specific scene being captured satisfies a predetermined condition; for each of the base vectors, determining a movement direction of the target object between each pair of adjacent image frames with respect to the base vector, and determining a general movement direction of the target object with respect to the base vector thereby; determining a movement direction of the target object according to the general movement directions of the target object.

Abstract: A repairing apparatus for removal of metal residuals on a display substrate is provided. The apparatus includes a storage container, comprising at least a first container configured to store a metal etchant; an adsorption component, configured to be adsorbed on a surface to be repaired on the display substrate and to cooperate with the surface to be repaired to define collectively a closed chamber therebetween; and a circulating pipe assembly, arranged to be connected and in fluid communication between the storage container and the adsorption component. The repairing apparatus may include a first fluid circuit arranged to be connected and in fluid communication between the first container and the adsorption component and configured to guide the metal etchant within the first container to flow to the adsorption component and into the chamber and then back into the first container.

Abstract: A 3D image display method and a head-mounted device. The method including: building a 3D background model and setting a video image display area in the 3D background model; acquiring video image data, and projecting the video image data into the video image display area of the 3D background model; acquiring a display parameter of a head-mounted device, and according to the display parameter, performing image morphing processing of the 3D background model to which the video image data are projected to generate a first 3D video image corresponding to a left eye and a second 3D video image corresponding to a right eye; and displaying the first 3D video image and the second 3D video image in the video image display area after refracting them through two lenses, respectively. The above-mentioned technical solutions can solve the problem of the narrow 3D image display angle that in the existing head-mounted devices.