Abstract: The present disclosure provides methods, apparatuses, devices and storage medium for predicting correlation between objects. The method can include: detecting a first object, a second object, and a third object involved in a target image, wherein the first object and the second object represent different body parts, and the third object indicates a body object; determining a joint bounding box surrounding the first object, the second object, and the third object; and predicting correlation between the first object and the second object based on a region corresponding to the joint bounding box in the target image.

Abstract: Provided are a face-hand correlation degree detection method and apparatus, a device, and a storage medium. The method includes that: an image to be detected is acquired; a face feature set and a hand feature set of the image to be detected are determined on the basis of a result obtained by performing face and hand detection on the image to be detected; a first interaction feature of a target face is determined on the basis of a face feature of the target face and the hand feature set; a second interaction feature of a target hand is determined on the basis of a hand feature of the target hand and the face feature set; and a correlation between the target face and the target hand is determined on the basis of the first interaction feature and the second interaction feature.

Abstract: Game image processing method, an electronic device, and a computer storage medium are provided. The method includes: in a money substitute operating stage, a first game image is acquired, and first money substitute information and human body image that are detected or recognized from the first game image are associated to obtain association information; in a payout stage, a detection and recognition result for a second game image is acquired before payment or collection of money substitute, the detection and recognition result at least including second money substitute information; when the second money substitute information is successfully associated with a target human body image of the human body image according to the association information, personal identity information corresponding to the target human body image is queried; and payout information corresponding to the personal identity information is determined according to the second money substitute information and a game result.

Abstract: Body and hand correlation method, apparatus, device, storage medium and computer program are provided. Method includes: in an image of which an image content includes a body to be correlated and a hand to be correlated, a first correlation probability between a body detection box of the body and a hand detection box of the hand is determined; a second correlation probability between the body and a wrist key point in a key point is determined based on the key point in the body detection box, the key point including the wrist key point and elbow key point belonging to the same arm; a third correlation probability between the hand detection box and the wrist key point is determined based on the wrist key point and elbow key point; and a correlation degree between the body and the hand is determined based on the first, second, and third correlation probabilities.

Abstract: A method and device for identifying a state, electronic device and computer-readable storage medium are provided. The method includes: acquiring a to-be-detected image for a specific scene and determining a region of interest in the to-be-detected image; the region of interest being a region obtained by subtracting an occlusion range of the storage container in a closed state from an occlusion range in an open state; determining a positional relation between the region of interest and specific object regions where the specific objects are positioned in the to-be-detected image; determining at least one value based on values of pixels in the region of interest, when the positional relation represents that there is no specific object region partially overlapping the region of interest; and determining whether the storage container is in an open state or closed state based on the at least one value and a preset value range.

Abstract: Methods, systems, and apparatus for detecting correlated objects involved in images are provided. In one aspect, a method includes: detecting a face object, a preset body part object, and a hand object involved in an image, performing a respective correlation prediction on every two of the face object, the preset body part object, and the hand object to obtain first, second, and third correlation prediction results, segmenting the image to determine at least one body object involved in the image to determine a first body object to which the face object belongs and a second body object to which the preset body part object belongs, adjusting the first correlation prediction result based on the first body object and the second body object, and determining correlated objects involved in the image according to the adjusted first correlation prediction result and the second and third correlation prediction results.

Abstract: A body and hand association method includes: an image to be detected of which an image content includes a body and a hand is acquired; a body bounding box of the body and a hand bounding box of the hand are determined in the image to be detected; an association probability between the body bounding box and the hand bounding box is determined; a circumscribed box of the body bounding box and the hand bounding box is determined; and a degree of association between the body and hand in the circumscribed box is determined based on a hand key point in the circumscribed box and the association probability.

Abstract: A method, an apparatus, a devices and a storage medium for controlling game states is provided in the disclosure, wherein the method includes: obtaining a video stream of a game area; performing a detection on the video stream to determine a number of game items and identification information of each of the game items in the game area; in a case that the number of the game items in the game area reaches a first predetermined value, generating a game result according to the number of the game items, the identification information of each of the game items, and a preset game result generation condition; and in response to that the game result is generated, switching the game to a result processing state.

Abstract: The present disclosure provides a method, apparatus and system for identifying target objects. The method includes: clipping out a target image from an acquired image, wherein the target image involves a plurality of target objects to be identified that are stacked; adjusting a height of the target image to a preset height, wherein a height direction of the target image corresponds to a direction in which the plurality of target objects are stacked; extracting a feature map of the adjusted target image; segmenting the feature map in a dimension corresponding to the height direction of the target image to obtain a preset number of segment features; and identifying the target objects based on each of the preset number of segment features.

Abstract: An object association method, apparatus and system, and a storage medium are provided. The method includes: obtaining a first image and a second image; and determining an association relationship between objects in the first image and objects in the second image based on surrounding information of the objects in the first image and surrounding information of the objects in the second image, where the surrounding information of one object is determined according to pixels within a set range around a bounding box of the object in the image where the object is located.

Abstract: Provided is a method for data processing. The method includes the following actions. Recognition data obtained by performing game object recognition on each frame of game image in a game image frame sequence is acquired. The recognition data includes type data of a game object and position data of the game object on a game table. At least one heat zone map corresponding to a surface of the game table is acquired. Each heat zone map represents a game region on the surface of the game table corresponding to each of respective at least one type of game object. Based on the type data, the position data, and the at least one heat zone map, recognition data of a game object that is located in a corresponding game region in each frame of game image in the game image frame sequence is filtered out.

Abstract: The present disclosure provides information interaction methods, apparatuses, systems, and devices, storage media and computer programs. The method includes: publishing a remote procedure call, RPC, message to a service-side; and in response to detecting that a response message with respect to the RPC message exists on the service-side, obtaining the response message, where the response message is published to the service-side by a called device indicated in the RPC message, and the response message is acquired by the called device processing the RPC message after detecting the RPC message at the service-side.

Abstract: A target object identification system includes a first camera, a second camera, and a processor. The first camera acquires an image of a first target region. The second camera synchronously acquires an image of a second target region. The second target region includes part or all of the first target region. Resolution of the first camera is higher than that of the second camera, and field of view of the second camera is greater than that of the first camera. The processor identifies first target objects according to the image of the first target region, and second target objects according to the image of the second target region, and determines association relationships between the first target objects in the image of the first target region and the second target object in the synchronously acquired image of the second target region.

Abstract: Provided are a matching method and apparatus, an electronic device, and a computer-readable storage medium. The method includes: obtaining a to-be-matched image; extracting at least one to-be-matched feature point from the to-be-matched image; for one of at least one reference image, performing matching between the at least one to-be-matched feature point and at least one reference feature point extracted from the reference image to obtain a distance set corresponding to the reference image, the distance set corresponding to the reference image being a distance set composed of distances between the at least one to-be-matched feature point and the at least one reference feature point, the one reference image including an image of a standard sample, and different reference images including different standard samples; and determining, based on the distance set corresponding to each reference image, whether the to-be-matched image matches each reference image.

Abstract: Provided are an edge computing method and apparatus, an edge device and a storage medium. The method includes that: multiple channels of original videos of a target scenario are acquired; synchronous access processing is performed on the multiple channels of original videos to obtain multiple channels of synchronous videos, and multiple frames of synchronous images are acquired based on the multiple channels of synchronous videos; computer vision collaborative analysis is performed on the multiple frames of synchronous images to obtain a collaborative processing result; and service logic processing is performed with configuration information synchronized from a cloud server in advance and corresponding to the target scenario, as well as the collaborative processing result to obtain a service processing result.

Abstract: The present disclosure relates to an image processing method and apparatus, an electronic device, and a storage medium. The method includes: acquiring at least two target images; determining an attention map of at least one target in each of the at least two target images according to a result of detecting target of each target image, where the attention map indicates the position of one target in a target image; and determining, based on each target image and the attention map of the at least one target in the each target image, a result of association that indicates whether a correspondence exists between at least some of targets in different target images.

Abstract: Provided are a cluster management method and apparatus, an electronic device and a storage medium. The method includes that: in a case where a registration request sent by a target device is received, identity information of the target device is acquired from the registration request; identity check is performed on the target device based on the identity information to obtain a check result; in a case where the check result is a check success, node information of the target device is acquired from the registration request; and the node information is stored to registration information of a device cluster network, to add the target device to the device cluster network.

Abstract: The present disclosure provides a method and apparatus for detecting a dealing sequence, a storage medium, and an electronic device. The method includes: obtaining a video stream of a game desktop, and detecting a game card from multiple image frames included in the video stream; in response to detecting a newly added game card from at least one of the multiple image frames, determining whether the newly added game card is in a target state in which dealing ends; after it is determined that the newly added game card is in the target state in which dealing ends, determining game information corresponding to the newly added game card; and determining, based on the game information, whether a sequence of dealing the newly added game card conforms to a predetermined dealing sequence.

Abstract: Provided are an edge computing method and apparatus, an edge device and a storage medium. The method includes that: multiple channels of original videos of a target scenario are acquired; synchronous access processing is performed on the multiple channels of original videos to obtain multiple channels of synchronous videos, and multiple frames of synchronous images are acquired based on the multiple channels of synchronous videos; computer vision collaborative analysis is performed on the multiple frames of synchronous images to obtain a collaborative processing result; and service logic processing is performed with configuration information synchronized from a cloud server in advance and corresponding to the target scenario, as well as the collaborative processing result to obtain a service processing result.

Abstract: The present disclosure relates to an image processing method and apparatus, an electronic device, and a storage medium. The method includes: obtaining video streams of a game tabletop; detecting target objects in a plurality of image frames included in the video streams; determining a current game stage based on the target objects; and determining game detecting results according to the target objects and the determined game stage.