Motion key frame extracting method based on distance curve amplitudes

Abstract

The invention discloses a motion key frame extracting method based on distance curve amplitudes. The motion key frame extracting method based on the distance curve amplitudes is used for extracting key postures of motion to describe an original motion sequence. The motion key frame extracting method based on the distance curve amplitudes includes the steps: firstly, selecting a group of new key frame distances to be as distance characteristics; secondly, carrying out dimensionality reduction on the distance characteristics through a principal component analysis method (PCA method for short), extracting first-dimension principal components, removing noises through smoothing filtering, and a characteristic curve is achieved, wherein substantive characteristics of an original motion can be well reflected; thirdly, acquiring initial key frames through extraction of local extreme points on the characteristic curve; evenly inserting corresponding numbers of frames among initial adjacent key frames according to the differences of amplitudes of the characteristic curve, then combining overstocked key frames, and final key frame collection is achieved. A lot of experimental data show that the motion key frame extracting method based on the distance curve amplitudes can not only satisfy good effects on visual generality of the motion, but also has low a compression ratio and an error ratio, and a processing procedure can be automatically finished without manual interference.

Description

technical field [0001] The present invention relates to human body motion capture technology, more specifically, relates to key frame extraction of human body motion. Background technique [0002] In recent decades, human motion capture technology has developed rapidly, and the importance of motion capture has also increased. Motion capture systems are already widely used in movies and games. Accompanied by a problem, due to the huge amount of captured data, the size of the motion capture database is also very large. How to deal with huge motion capture data has become a hot research topic at home and abroad. [0003] Key frame technology is an effective solution. Select the most important and critical frame in the motion as the key frame, representing the entire motion sequence, while other non-key frames are not as important as these key frames, which can be calculated by the key frame through an interpolation algorithm get. Because the key frame extraction technology p...

AI Technical Summary

Problems solved by technology

Accompanied by a problem, due to the huge size of the captured data, the size of the motion capture database is also very large. How to deal with huge motion capture data has become a hot research topic at home and abroad.

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