The embodiments of the present application are applicable to the technical field of behavior recognition. Provided are a behavior recognition method and apparatus, a terminal device, and a storage medium. The method comprises: collecting image information to be detected; determining a location area of an image of a person in the image information, and determining the category of a substance object; extracting feature information of the person, and inputting the feature information of the person into a preset stacked hourglass network structure model to obtain a plurality of limb key points included in the image of the person; recognizing target key points from among the plurality of limb key points according to a preset matching relationship between limb key points and categories of substance objects; for any one of the target key points, calculating a behavior probability value regarding the target key point and each substance object; and determining the behavior of the person in the image information according to the behavior probability value. In the present embodiment, posture detection and object detection are combined and jointly applied to human behavior recognition, thereby improving the accuracy of human behavior recognition.
BEHAVIOR RECOGNITION METHOD AND APPARATUS, TERMINAL DEVICE, AND STORAGE MEDIUM