Abstract: A human body tracing method, apparatus, and device, and a storage medium. The method includes: obtaining a current frame image captured by a target photographing device at a current moment; detecting each human body in the current frame image to obtain first position information of the each human body in the current frame image; calculating second position information of a first human body in the current frame image; determining target position information of the each human body in the current frame image according to the second position information of the first human body in the current frame image, the first position information of the each human body in the current frame image, and pedestrian features of all traced pedestrians stored in a preset list.

Abstract: A method, apparatus, device, and storage medium for predicting the number of people of a dense crowd, including: converting a first image, in which the number of people is to be determined, into a corresponding first thermodynamic chart according to a thermodynamic chart conversion model; and determining the number of people in the first image according to the first thermodynamic chart, wherein the thermodynamic chart conversion model is obtained by training according to a pre-marked second image and a thermodynamic chart corresponding to each second image, thereby achieving prediction of the number of people of a dense crowd, improving the accuracy in predicting the number of people of the dense crowd while improving management efficiency.

Abstract: A method and an apparatus for human behavior recognition, and a storage medium, the method includes: obtaining a human behavior video captured by a camera; extracting a start point and an end point of a human motion from the human behavior video, where the human motion between the start point and the end point corresponds to a sliding window; determining whether the sliding window is a motion section; and if the sliding window is a motion section, anticipating a motion category of the motion section using a pre-trained motion classifying model. Thus, accurate anticipation of a motion in a human behavior video captured by a camera is realized without human intervention.

Abstract: A method for human motion analysis, an apparatus for human motion analysis, a device, and a storage medium. The method includes: acquiring image information captured by a number of photographing devices, where at least one of the number of photographing devices is disposed above a shelf; performing human tracking according to the image information captured by the plurality of photographing devices, and determining position information in space of at least one human body and identification information of the at least one human body; acquiring, according to the position information in space of a target human body of the at least one human body, a target image captured by the photographing device above a shelf corresponding to the position information; and recognizing an action of the target human body according to the target image and detection data of a non-visual sensor corresponding to the position information.

Abstract: A method, apparatus and a system for human body tracking processing, where an apparatus for video collection processing in the system has a built-in intelligent chip, and before uploading video data to a cloud server, the intelligent chip performs a pre-processing on the video data, retains a key image frame and performs a human body detection and a tracking processing on the key image frame by using human body detection tracking algorithm to acquire a first human body detection tracking result. Afterwards, the intelligent chip sends the first human body detection tracking result to the cloud server, so that the cloud server performs a human body re-identification algorithm processing and/or three-dimensional reconstruction algorithm processing on the first human body detection tracking result to acquire a second human body detection tracking result.

Abstract: Embodiments of the present application provide an image-based position detection method, an apparatus, a device and a storage medium. Images captured at the same time by a plurality of photographing devices mounted in different orientations are acquired, where the plurality of photographing devices are synchronous in time; a two-dimensional position of a target object in each of the images is detected; and a three-dimensional position of the target object in an actual space is determined based on the two-dimensional position of the target object in each of the images and internal parameters and external parameters of the plurality of photographing devices. The embodiments of the present application implement a three-dimensional positioning solution based on a plurality of cameras, thereby improving the reliability and accuracy of object positioning.

Abstract: A method for tracking a target profile in a video includes: determining position information of corner points of the target profile and parameter information of a first edge formed by adjacent corner points in a previous image frame adjacent to a current image frame; tracking corner points of the target profile in the previous image frame to acquire position information of the corner points of the target profile in the current image frame to determine parameter information of a second edge; predicting to acquire predicted parameter information, and generating candidate target profiles based on the predicted parameter information, in response to determining that a similarity between the first edge and a second edge corresponding to the first edge being less than a first preset threshold; and determining a final position of the target profile in the current image frame based on the candidate target profiles.

Abstract: A method and apparatus for processing an image are provided. A specific embodiment of the method includes: acquiring a target image and a to-be-inserted image, and determining an insertion area in the target image; adjusting, based on an average lightness value of the insertion area and an average lightness value of the to-be-inserted image, a lightness value of a pixel included in the to-be-inserted image, an average lightness value being used to represent a lightness of an image; and adjusting, in response to determining that a difference between a color attribute value of the acquired to-be-inserted image and a color attribute value of the insertion area is outside a preset range, the color attribute value of the to-be-inserted image such that the difference is within the preset range. This embodiment improves the pertinence of adjusting image data.

Abstract: Embodiments of the present disclosure disclose a method and an apparatus for processing an image. A specific embodiment of the method includes: acquiring a target image including a polygon image; inputting the target image into a pre-trained convolutional neural network to obtain a characteristic vector of the target image, the convolutional neural network being used to represent a correspondence relationship between an image and a characteristic vector, and the characteristic vector being a vector including a category feature, a position feature, and a keypoint feature of the polygon image; and recognizing an image area of the polygon image based on the category feature, the position feature, and the keypoint feature. This embodiment improves the accuracy of polygon image recognition.

Abstract: The present disclosure provides a method and apparatus for evaluating image definition, a computer device and a storage medium, wherein the method comprises: obtaining an image to be processed; inputting the image to be processed to a pre-trained evaluation model; obtaining an comprehensive image definition score outputted by the evaluation model, the comprehensive image definition score being obtained by the evaluation model by obtaining N image definition scores based on N different scales respectively, and then integrating the N image definition scores, N being a positive integer greater than one. The solution of the present invention can be applied to improve the accuracy of the evaluation result.

Abstract: The present disclosure provides a video displaying method and apparatus, a device and a computer storage medium, wherein the method comprises: positioning a target video; displaying a video preview of the target video, the video preview being a video segment extracted from the target video. This displaying manner exhibits a stronger capability of expressing the video content. The user can better know whether the video is the desired content. The present disclosure may reduce a probability of the user missing desired video resources and reduce a probability that the user finds that the video content does not meet an expectation after he views the video content, thereby helping the user to conveniently and effectively view the desired video resources.

Abstract: Embodiments of the present disclosure disclose a method and apparatus for adding a digital watermark in a video. A specific embodiment of the method includes: performing target detection on each frame of image in a target video; determining, based on a target detection result, whether the target video includes at least one carrier, the carrier referring to an object for adding a digital watermark in the each frame of image; and determining a target carrier from the at least one carrier, and adding the digital watermark to an area of the target carrier in the each frame of image including the target carrier in the target video, in response to determining the target video including the at least one carrier.

Abstract: The present disclosure provides a method and apparatus for extracting a video preview, a device and a computer storage medium. The method comprises: inputting a video into a video classification model obtained by pre-training; obtaining weights of respective video frames output by an attention module in the video classification model; extracting continuous N video frames whose total weight value satisfies a preset requirement, as the video preview of the target video, N being a preset positive integer. It is possible to, in the manner provided by the present disclosure, automatically extract continuous video frames from the video as the video preview, without requiring manual clipping, and with manpower costs being reduced.

Abstract: Provided in the present disclosure are a computer-implemented searching method and a server. The computer-implemented searching method includes: receiving, at one or more computing devices, a current searching term sent by a client; obtaining, at the one or more computing devices, a picture-expressible term contained in the current searching term; obtaining, at the one or more computing devices, a picture result according to the picture-expressible term; and sending, at the one or more computing devices, the picture result to the client. The present method improves the effect of the information expression of the search results.

Abstract: The present invention discloses a rotary extrusion producing mold for producing an inner ring rib with a large aspect ratio formed of a hollow billet, which consists of a concave die, a left half convex die, a right half convex die, a mandrel, a lower core support and an elastic supporting mechanism, the left and right half convex dies are fixed onto an upper template connected with a slider and a horizontal hydraulic cylinder, a left drive hydraulic cylinder and a right drive hydraulic cylinder are mounted at both ends of the upper template, respectively, the lower core support passes through a middle of the concave die, the elastic supporting mechanism is mounted at a bottom of the lower core support, a drive gear is mounted on a side face of the concave die, and the mandrel is disposed between the left and right half convex dies.

Abstract: A method and a device for recognizing a subject area of an image are provided. The method includes receiving an image to be recognized, and extracting a candidate subject area from the image; eliminating a non-subject area from the extracted candidate subject areas to obtain a target candidate subject area, and adjusting and classifying the target candidate subject areas to obtain at least one set of the target candidate subject areas; and merging the target candidate subject areas in each set of the target candidate subject areas to recognize the subject area of the image.

Abstract: The present invention discloses a rotary extrusion producing mold for producing an inner ring rib with a large aspect ratio formed of a hollow billet, which consists of a concave die, a left half convex die, a right half convex die, a mandrel, a lower core support and an elastic supporting mechanism, the left and right half convex dies are fixed onto an upper template connected with a slider and a horizontal hydraulic cylinder, a left drive hydraulic cylinder and a right drive hydraulic cylinder are mounted at both ends of the upper template, respectively, the lower core support passes through a middle of the concave die, the elastic supporting mechanism is mounted at a bottom of the lower core support, a drive gear is mounted on a side face of the concave die, and the mandrel is disposed between the left and right half convex dies.

Abstract: A method and an apparatus for searching information are provided. The method comprises: obtaining a current keyword; obtaining material information associated with the current keyword, the material information including at least one of an image segment, a text segment and an image entity; compositing the material information into an image to be shown in a search result page.

Abstract: Provided in the present disclosure are a computer-implemented searching method and a server. The computer-implemented searching method includes: receiving, at one or more computing devices, a current searching term sent by a client; obtaining, at the one or more computing devices, a picture-expressible term contained in the current searching term; obtaining, at the one or more computing devices, a picture result according to the picture-expressible term; and sending, at the one or more computing devices, the picture result to the client. The present method improves the effect of the information expression of the search results.

Abstract: A method and a device for recognizing a subject area of an image are provided. The method includes receiving an image to be recognized, and extracting a candidate subject area from the image; eliminating a non-subject area from the extracted candidate subject areas to obtain a target candidate subject area, and adjusting and classifying the target candidate subject areas to obtain at least one set of the target candidate subject areas; and merging the target candidate subject areas in each set of the target candidate subject areas to recognize the subject area of the image.