Disclosed are a behavior feature extraction method, system and apparatus based on time-space/frequency domain hybrid learning. The method comprises: acquiring a video behavior sequence based on a skeleton, and extracting a time-space domain behavior feature map by means of a conversion network; inputting same into a frequency domain attention network to perform frequency selection, then inverting same back to a time-space domain, and adding same to the time-space domain behavior feature map; synchronously performing local reasoning and non-local reasoning, and performing high-layer local reasoning; and globally pooling the time-space domain behavior feature map obtained by reasoning so as to obtain a behavior feature vector of the video behavior sequence.
BEHAVIOR FEATURE EXTRACTION METHOD, SYSTEM AND APPARATUS BASED ON TIME-SPACE/FREQUENCY DOMAIN HYBRID LEARNING