“In the field of fluid dynamics experimental measurement, researchers have proposed a new flow field estimation and dynamic particle tracking enhancement model LiteFlowNet CL based on convolutional long short-term memory networks and LiteFlowNet structure, which effectively improves the ability to capture complex flow field features in particle image velocimetry. Its error accuracy can meet the experimental requirements of turbulence analysis.”