The application discloses a fancy skipping
rope recognition algorithm based on image recognition, and the fancy skipping
rope recognition algorithm comprises the following steps: S1, a camera collects video data and sends the video data into a processor, and the processor performs
human body key point recognition frame by frame; S2,
jumping feature key points are determined, and a target window is divided by using the
jumping feature; S3, according to the
visibility of the key points, whether the
jumping target window is effective is judged; S4, data features of the target window are extracted; S5, according to the data features, whether the current window is a jump is judged; and S6, according to
ankle features and
wrist features, fancy movements of the
ankle and the
wrist are respectively recognized. According to the application, by dynamically selecting key points, the problem that fixed key points cannot complete skipping
rope counting after being shielded is solved, by using a scale zooming technology, the problem that the skipping rope counting precision is influenced due to the fact that the
human body occupies too small proportion in an image is solved, the fancy skipping rope movements can be recognized, and moreover, reasonable
feature selection improves the accuracy of skipping rope counting.