An object behavior recognition method, comprising: obtaining a first description file of an object in a first historical time period and a second description file of the object in a second historical time period; for each type of first attribute description text in the first description file, obtaining a preset number of first keywords, converting each of the first keywords into a first feature vector, and averaging the preset number of first feature vectors to obtain a first average feature vector corresponding to each type of first attribute description text; combining the first average feature vectors corresponding to multiple types of first attribute description texts in the first description file to generate a first historical feature matrix; similarly, generating a second historical feature matrix of the second description file; and combining the first historical feature matrix and the second historical feature matrix and inputting same into a model to obtain a behavior recognition result of the object.
OBJECT BEHAVIOR RECOGNITION METHOD AND APPARATUS, AND TERMINAL DEVICE