Hip-hop action image recognition based on symmetric algorithm and iterative weighting of dense sampling

Han, Zhen; Ma, Minhang

doi:10.1007/s12652-020-02547-1

Cited by 1 publication

(1 citation statement)

References 21 publications

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“…For the second scan, detect line segment, remove interference short line segment, record position information and midpoint coordinates of long line segment, and determine line segment chain code [26,27]. The steps are as follows: scanning line by line to find the starting point of the line segment and give its label; judging the direction of the line segment according to the neighborhood of the pixel point, labeling the same line segment along its direction; returning to the starting point after labeling a line segment, continuing to find the next starting point line by line, as shown in Figure 8; and determining the link code of the line segment, line by line.…”

Section: Symmetry Recognition Of Pitching Finger Image Based Onmentioning

confidence: 99%

Image Recognition Method for Pitching Fingers of Basketball Players Based on Symmetry Algorithm

Chen

2021

Wireless Communications and Mobile Computing

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In the basketball game, the accuracy and standardization of pitching are directly related to the score. So it is very important to analyze the pitching figure movement to have a better positioning of the fingers. There are limited techniques to recognize the movement. The human motion recognition method is one of them. It utilizes the spatiotemporal image segmentation and interactive region detection to recognize images of pitching finger movement of basketball players. This method has a limitation that the symmetrical information of the human body and sphere cannot be excavated, which leads to certain errors in recognition effect. This paper presents a method of recognizing pitching finger movement of basketball players based on symmetry algorithm, constructs an acquisition model, carries out edge contour detection and adaptive feature segmentation of images of pitching finger movement of basketball players, and uses a fixed threshold to segment finger image to extract players’ hand contour and locate the middle axis of the finger. On this basis, the symmetry recognition method based on nematode recognition algorithm is used to recognize the symmetry of basketball pitching finger movement image and complete the accurate recognition of basketball pitching finger movement image. The experimental results show that the proposed method can effectively recognize the basketball player’s finger movement image. The average recognition accuracy is 98%, the growth rate of recognition speed is 98%, and the maximum recognition time is 12 s. The robustness of the proposed method is 0.45.

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Section: Symmetry Recognition Of Pitching Finger Image Based Onmentioning

confidence: 99%

Image Recognition Method for Pitching Fingers of Basketball Players Based on Symmetry Algorithm

Chen

2021

Wireless Communications and Mobile Computing

View full text Add to dashboard Cite

show abstract

Hip-hop action image recognition based on symmetric algorithm and iterative weighting of dense sampling

Cited by 1 publication

References 21 publications

Image Recognition Method for Pitching Fingers of Basketball Players Based on Symmetry Algorithm

Image Recognition Method for Pitching Fingers of Basketball Players Based on Symmetry Algorithm

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