Action recognition method and device for target object, and electronic apparatus

A device for recognizing an action of a target object, comprising:

• a memory configured to store computer readable instructions;
• and
• a processor configured to execute the computer readable instructions causing the device to:
• acquire an original image from an image source, wherein the original image comprises a target object;
• recognize the target object from the original image;
• detect a plurality of key points of the target object;
• determine visibility attributes of the plurality of key points based on the detected key points wherein a visibility attribute of a key point indicates whether the key point is covered;
• and
• recognize an action of the target object based on a combined value of the visibility attributes of the plurality of key points,
• wherein the recognizing the target object from the original image comprises:
• acquiring a current image frame of the original image;
• extracting image features from the image frame to form a feature image;
• generating a plurality of rectangular boxes in the feature image;
• determining, for each of the plurality of rectangular boxes, the number of image features of the target object that are contained in the rectangular box;
• and
• outputting one of the plurality of rectangle boxes that contains a maximum number of image features of the target object as a circumscribing box of the target object.

A non-transient computer readable storage media configured to store computer readable instructions that when being executed by a computer, cause the computer to perform the operations of:

• acquiring an original image from an image source, wherein the original image comprises a target object;
• recognizing the target object from the original image;
• detecting a plurality of key points of the target object;
• determining visibility attributes of the plurality of key points based on the detected key points, wherein a visibility attribute of a key point indicates whether the key point is covered;
• and
• recognizing an action of the target object based on a combined value of the visibility attributes of the plurality of key points,
• wherein the recognizing the target object from the original image comprises:
• acquiring a current image frame of the original image;
• extracting image features from the image frame to form a feature image;
• generating a plurality of rectangular boxes in the feature image;
• determining, for each of the plurality of rectangular boxes, the number of image features of the target object that are contained in the rectangular box;
• and
• outputting one of the plurality of rectangle boxes that contains a maximum number of image features of the target object as a circumscribing box of the target object.