Sensetime International Pte. Ltd.

Haiyu Zhao

Shuai Yi

Jinyi Wu

Zhongang Cai

Kaige Chen

Cunjun Yu

Mingyuan Zhang

Daming Niu

Jin Wu

Daxuan Ren

Junzhe Zhang

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.

Object association method, apparatus and system, and storage medium

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.

Image processing method and apparatus, electronic device, and storage medium

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.

Method and apparatus for detecting a dealing sequence, storage medium and electronic device

An image recognition method includes: performing image detection on an image to be recognized to obtain at least one face detection result, at least one operational part detection result, and at least one trunk detection result, each face detection result including one face bounding box, each operational part detection result including one operational part bounding box, and each trunk detection result including one trunk bounding box; respectively combining each of the at least one trunk detection result with each face detection result, to obtain at least one first result combination; respectively combining each trunk detection result with each operational part detection result, to obtain at least one second result combination; and associating the at least one first result combination with the at least one second result combination, to obtain an association result.

Image recognition method, apparatus, and storage medium

Disclosed are a gesture recognition method and apparatus, an electronic device, and a storage medium. The method includes: obtaining a hand detection result by detecting a to-be-processed image; in response to the hand detection result including a bounding box of hand, determining that a hand pose in the bounding box of hand conforms to a hand pose in a target gesture; determining that the hand is located in a pre-defined area of the to-be-processed image; and determining that the hand makes the target gesture.

Gesture recognition method and apparatus, electronic device, and storage medium

Embodiments of the present specification provide a target recognition method, apparatus, and system. The method comprises: obtaining an image recognition result and a radio frequency recognition result of target objects in a target region, and then determining the distribution of the target objects in the target region according to the radio frequency recognition result and the image recognition result. Since the radio frequency recognition result and the image recognition result are fused, the target objects in the target region can be accurately recognized, so as to improve the recognition accuracy.

Method, apparatus, and system for recognizing target object

Image recognition method and apparatus, and computer-readable storage medium are provided. The method includes: determining changed object according to change of states of at least one group of target objects in detection area; obtaining a set of image frames in side view consisting of image frames in side view and at least one image frame to be matched that are collected within a first preset time period before states of at least one group of target objects in detection area are changed; determining associated image frame from at least one image frame to be matched; obtaining image frame in side view corresponding to associated image frame from the set of image frame in side view; and determining, according to associated image frame and the image frame in the side view, target intervention object having the highest degree of association with changed object from at least one intervention object.

Image recognition method and apparatus, and computer-readable storage medium

Disclosed are a target tracking method and apparatus, an electronic device, and a storage medium. The method includes: detecting a to-be-processed image to obtain a hand detection result; in response to the hand detection result including a bounding box of hand, determining a hand in the bounding box with a hand pose conforming to a hand pose in a target gesture as a target hand; and tracking the target hand in a video stream according to the target hand in the to-be-processed image, where images in the video stream and the to-be-processed image are obtained by capturing a same target area, and the images in the video stream are captured after the to-be-processed image is captured.

Target hand tracking method and apparatus, electronic device, and storage medium

The present disclosure provides a game stage switching method and apparatus, and a storage medium. The method includes: obtaining a video stream of a game desktop; detecting a target object for each of image frames included in the video stream; and in response to detecting a specific target object in at least one image frame in the video stream, switching a game progress stage at a time point corresponding to a first image frame in a plurality of continuous image frames where the specific target object is detected.

Game stage switching method and apparatus, and storage medium

The present disclosure relates to an image processing method and apparatus, an electronic device, and a storage medium. The method includes: acquiring a first image and a first attention map of a first target object in the first image, where the first attention map indicates the position of the first target object in the first image; acquiring a second image and a second mask image of the second image, where pixel values of pixels in the second mask image are equal; and obtaining, according to first input information and second input information, a first prediction result that indicates the position of the first target object in the second image, where the first input information is determined according to the first image and the first attention map, and the second input information is determined according to the second image and the second mask image.

Image processing method and apparatus, and storage medium

Image association methods, systems and apparatuses are provided. The method includes: obtaining a first image and a second image, where the first image is obtained by capturing a scene by a first image capture device at a first view, the second image is obtained by synchronously capturing the scene by a second image capture device at a second view, and the first view is different from the second view; determining an epipole of the first image capture device on a plane of the second image; determining a projection point of a first target point in a first bounding box on the second image, where the first bounding box is a bounding box of a target in the first image; and determining an association bounding box of the first bounding box in the second image according to the epipole and the projection point.

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Singapore, Singapore

Haiyu Zhao