SENSETIME INTERNATIONAL PTE. LTD.

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.

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.

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.

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.

An object recognition method, apparatus, device and storage medium are provided. The method includes the following steps: a real-time image where a screen includes an object operation region is acquired; image reference points that match with at least two reference origins in the real-time image is determined according to the mapping relationship between the real-time image and a preset standard image, the reference origin is a point within the object operation region in the preset standard image; and an object within the object operation region is recognized according to a pixel coordinate of the preset standard image and a reference pixel coordinate of the image reference point in the real-time image to obtain a target recognition result of the object.

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.

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.

Provided are an item identification method and apparatus, a device, and a computer-readable storage medium. The method includes: categories of items contained in a group of to-be-identified items and quantity information of items in each category contained in the group of to-be-identified items are determined by performing short-range wireless communication with each item in a group of to-be-identified items in a scenario region, each item containing a short-range wireless communication tag corresponding to a category of each item; acquired images of the group of to-be-identified items are identified to obtain an image identification result of the group of to-be-identified items, the image identification result including a category identification result of each item in the group of to-be-identified items; and an item identification result of the group of to-be-identified items is determined based on the quantity information and the image identification result.

Provided are a method and apparatus for detecting a human body around a game table, an electronic device and a storage medium. The method includes that: three-dimensional scene data of the game table collected by at least one three-dimensional sensor arranged around the game table is acquired; human body detection information around the game table is acquired, wherein the human body detection information includes detection information of at least one human body; and the human body detection information is filtered based on the three-dimensional scene data to obtain a human body detection result around the game table.

Provided are a stacked object recognition method, apparatus and device, and a computer storage medium. The method includes that: an image to be recognized is acquired, the image to be recognized including an object sequence formed by stacking at least one object; edge detection and semantic segmentation are performed on the object sequence based on the image to be recognized to determine an edge segmentation image of the object sequence and a semantic segmentation image of the object sequence, the edge segmentation image including edge information of each object of the object sequence and each pixel in the semantic segmentation image representing a class of the object to which the pixel belongs; and the class of each object in the object sequence is determined based on the edge segmentation image and the semantic segmentation image.