Bed surface particle identification tracking method based on motion image backtracking

Abstract

The invention discloses a bed surface particle identification tracking method based on motion image backtracking. An identification and tracking task is completed through nine steps. And carrying out resolution adjustment preprocessing on the qualified bed surface particle motion image by using a binary method. A two-dimensional Gaussian mixture model is adopted to carry out background removal on the moving particles; a motion backtracking method is used, based on an inter-frame particle identification model, target particle motion positions in continuous frames are determined, and a dynamic threshold value and a spot analysis method are used for filtering data noise. Through active and inert state identification and establishment of an effective active particle data set, a particle trajectory sample set and a space coordinate data set with all behavior characteristics of motion and waiting are screened out. Moving particles are tracked in continuous frames of images to form a coordinate trajectory chain, and multi-scale motion information is obtained; a particle positioning error elimination and optimal identification link technology is adopted, so that the quality of effective active particle motion data is improved; fine identification, multi-dimensional information acquisition and whole-process tracking of target particle motion are realized.

Description

technical field [0001] The invention belongs to the technical field of hydraulics and river dynamics research, and in particular relates to a bed surface particle identification and tracking method based on pattern recognition and movement backtracking. Background technique [0002] The random motion of sediment particles on the river bed surface is complicated. In recent decades, many scholars at home and abroad have devoted themselves to the study of its motion characteristics. There are still many differences in the basic understanding of exercise parameters such as step duration. [0003] At present, underwater high-speed photography technology has begun to be applied in the accurate observation of moving mass, and generally adopts two observation methods: side view and top view. Miao Wei et al. applied high-speed photography technology to the measurement of sediment start-up probability, and realized the non-contact measurement of start-up probability through image rec...

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Problems solved by technology

Miao Wei et al. applied high-speed photography technology to the measurement of sediment start-up probability, and realized the non-contact measurement of start-up probability through image recognition and analysis; There are still some areas for discussion

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