Sensetime International Pte. Ltd.

Chunya Liu

Bairun Wang

Xuesen Zhang

Shuai Yi

Jinghuan Chen

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.

Methods, apparatuses, devices and storage medium for predicting correlation between objects

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.

Face-hand correlation degree detection method and apparatus, device and storage medium

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.

Body and hand correlation method and apparatus, device, and storage medium

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.

Methods, devices, apparatuses and storage media of detecting correlated objects involved in images

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.

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Singapore, Singapore

Chunya Liu