Abstract
Both the human body and its motion are three-dimensional information, while the traditional feature description method of two-person interaction based on RGB video has a low degree of discrimination due to the lack of depth information. According to the respective advantages and complementary characteristics of RGB video and depth video, a retrieval algorithm based on multisource motion feature fusion is proposed. Firstly, the algorithm uses the combination of spatiotemporal interest points and word bag model to represent the features of RGB video. Then, the directional gradient histogram is used to represent the feature of the depth video frame. The statistical features of key frames are introduced to represent the histogram features of depth video. Finally, the multifeature image fusion algorithm is used to fuse the two video features. The experimental results show that multisource feature fusion can greatly improve the retrieval accuracy of motion features.
Highlights
The traditional training method is for coaches to make a training plan according to their own training theory and training experience, combined with the skill level of basketball players
The algorithm uses the combination of spatiotemporal interest points and word bag model to represent the features of RGB video
Compared with the depth video feature, the RGB feature is more than 90% sparse on average at the same feature size, and the dynamic ratio is doubled
Summary
The traditional training method is for coaches to make a training plan according to their own training theory and training experience, combined with the skill level of basketball players. The subjectivity of this training mode is very strong, and coaches need to spend a lot of time to analyze the sports characteristics of athletes. If coaches can accurately control the sports characteristics of athletes, the training effect can be greatly improved. Collecting and analyzing the sports data of basketball players and searching the sports characteristics are of great significance to improve the scientifically of the coaches’ training plan and the training effect of the athletes, and it is a new research direction [3, 4]
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