PRIVACY-PRESERVING HUMAN ACTION RECOGNITION, STORAGE, AND RETRIEVAL VIA JOINT EDGE AND CLOUD COMPUTING

摘要

Various embodiments of predicting human actions are disclosed. In one aspect, a human action prediction system first receives a sequence of video images including at least a first person. Next, for each image in the sequence of video image, the human action prediction system detects the first person in the video image; and subsequently extracts a skeleton figure of the detected first person from the detected image of the first person, wherein the skeleton figure is composed of a set of human keypoints of the detected first person. Next, human action prediction system combines a sequence of extracted skeleton figures of the detected first person from the sequence of video images to form a first skeleton sequence of the detected first person which depicts a continuous motion of the detected first person. The human action prediction system subsequently transmits the first skeleton sequence of the detected first person to a server, wherein transmitting the first skeleton sequence of the detected first person in place of the detected images of the first person to the server preserves the privacy of the detected first person