A vehicle logo recognition algorithm based on the improved SIFT feature

Combining AI Techniques for Recognizing Aerobics Sport Videos

“…In the process of causality identification, the garnet model of 6,000 bodybuilders was calibrated and analyzed using the course and literature [2] system of this newspaper, and the peak memory-to-noise ratio was compared between the two methods. The analysis of the above process shows that the peak signal-to-noise ratio of the method in this paper is 23.22 dB higher than that of the learned [2] mode; its site fidelity is 11.33% higher than that of the belleslettres [12] method; its recognition speed is higher than that of the literature [15] The recognition time is 2.69 s shorter. It is shown that the method in this example can completely realize the portrait notification of aerobics' footprints, correct the positioning ability of the action, and reduce the confirmation delay of the action performance.…”

“…In the system-level disorder and decrease delay conquest, the symbol aggregation method technique is an interest to morph unbroken seasonal arrangement Aerobics test into disjunct emblem consequence. Using the piecewise aggregate course technique, the tempo series of aerobic task is divided into lobes of equal greatness [12,13]. Under the condition of Gaussian distribution with the same likelihood, the breakpoints C = fC1, C2, ⋯, Cqg divide the exercise data interval of aerobics into q +1 segments and at the same time convert all segments into ideographic descriptions.…”

“…The dynamic system configuration of the aerobics obstacle robot based on the behavior confirmation algorithm program is shown in Figure 1. System configuration includes data gain layer, communication layer [10][11][12][13][14], data bulge layer, and nickname boost. The ram component in the data acquisition lift is the somatosensory sensor Kinect, which uses the somatosensory Kinect extensively to obtain the somatosensory enlightenment of bodybuilders and obtain proxy images of bodybuilders [5,6].…”

“…However, in the current development of aerobics refereeing, there is a lack of a unified and random movement embarrassment scoring system. The aerobics difficulty score that you can enjoy objectively alone cannot objectively and accurately evaluate the sports performance of athletes, and the lack of fairness in recording results is controversial [1][2][3][4][5][6][7][8][9][10][11][12]. Therefore, there is an urgent need for a professional, reasonable, and standardized automatic scoring system for the difficulty of aerobics.…”