Abstract: Embodiments of this disclosure provide an action recognition method and apparatus and an electronic equipment. The action recognition apparatus includes: a key-point feature extracting unit configured to process information on key points in a target human body in an image frame, to calculate key-point features of the target human body, the key-point features including a position of a predetermined key point and an angle of a predetermined joint in the target human body; and a first recognizing unit configured to recognize an action of the target human body according to the key-point features, and output a first recognition result.

Abstract: Embodiments of this disclosure provide a person searching method and apparatus and an image processing device. The method includes: performing person detection on a reference image, determining a query person, and acquiring property information on the query person; performing person detection on at least one video surveillance image, determining all candidate persons, and acquiring property information on all the candidate persons; calculating a match score of each candidate person according to the property information on the query person and property information on each candidate person, and selecting a predetermined number of candidate persons in a descending order of the match scores; and calculating similarities between the query person and the selected candidate persons, and taking a candidate person in the selected candidate persons having a highest similarity with the query person as the query person.

Abstract: Embodiments of this disclosure provide an action recognition method and apparatus and an electronic equipment. The action recognition apparatus includes: a key-point feature extracting unit configured to process information on key points in a target human body in an image frame, to calculate key-point features of the target human body, the key-point features including a position of a predetermined key point and an angle of a predetermined joint in the target human body; and a first recognizing unit configured to recognize an action of the target human body according to the key-point features, and output a first recognition result.

Abstract: Embodiments of this disclosure provide a scenario detection apparatus and method, in which a scenario corresponding to a determined rule based on an input image is detected according to a result of detection of types of objects in an input image and the determined rule. Various scenarios may be efficiently detected with relatively low cost.

Abstract: Embodiments of this disclosure provide a person searching method and apparatus and an image processing device. The method includes: performing person detection on a reference image, determining a query person, and acquiring property information on the query person; performing person detection on at least one video surveillance image, determining all candidate persons, and acquiring property information on all the candidate persons; calculating a match score of each candidate person according to the property information on the query person and property information on each candidate person, and selecting a predetermined number of candidate persons in a descending order of the match scores; and calculating similarities between the query person and the selected candidate persons, and taking a candidate person in the selected candidate persons having a highest similarity with the query person as the query person.