RETRACTED: Fast swimming motion image segmentation method based on symmetric difference algorithm

Abstract

Swimming motion analysis structure generally relies on manual digitizing the recorded video to obtain performance-related metrics, such as stroke impulse, stroke duration and swimming speed. Use Symmetry Difference Algorithm (SDA) has improved the stroke marking system in an aggressive swimming environment. Can be found in human swimmer and identify creative movement, visionary, based on Lord of the machine can be applied to swimming gait analysis, drowning opportunity detection other. The machine relies on detecting the correct frame member swimmer, comprising a head and upper limbs. A swimmer detection problem can be expressed as background subtraction. As the water ripples, splashes and aging dynamic reflection of the history of the past, in the aquatic environment, can be very difficult to detect swimmers. They transfer photos focus gadget divided formulated as a historical deduction. The project will be separated from the main body of all the photos in the past. Find and modeling past scenes. Based solely on the similarity of pixels and past models, the use of smart technologies pixels each pixel is classified as an object or in the past. The lighting division is alternating movement and the movement of history. The current algorithm version codebook and Gradient Descent Algorithms (GDA) and Support Vector Machine (SVM) the inspection method. Simulation results of the processing method are rapid progress Symmetric Difference Algorithm (SDA) and fast swimming collection detection. From the swimming of the recording to the image server.