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基于红外图像序列的排球运动关键技术特征提取方法 被引量:2

Volleyball Movement Key Technical Feature Extraction Method Based on Infrared Image Sequence
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摘要 针对现有运动技术特征提取方法中运动目标特征提取不准确的问题,提出了一种基于红外图像序列的排球运动关键技术特征提取方法 .首先,获取红外图像序列的排球运动图像,并对红外图像序列中的运动目标进行检测和提取,进一步用图像分割方法进行边缘分割.然后,基于视点跟踪切换方法进行阈值分析,实现对运动目标的准确跟踪和提取.实验表明,提出的方法准确性和效率均高于传统方法 . Aiming at the problem of inaccurate feature extraction of moving target features in the existing motion technology feature extraction methods,a key technology feature extraction method for volleyball sports based on infrared image sequence is proposed.First,the volleyball image based on the infrared image sequence is acquired,and the motion target in the infrared image sequence is detected and extracted.Edge segmentation is further performed based on an image segmentation method.Then,the threshold analysis is performed based on the viewpoint tracking switching method to achieve accurate tracking and extraction of the moving target.Experiments show that the proposed method is more accurate and efficient than the traditional method.
作者 邹业兵 朱彦陈 王欣 苏利强 ZOU Ye -bing;ZHU Yan -chen;WANG Xin;SU Li qiang(Department of Physical Education,Jiangxi University of Traditional Chinese Medicine,Nanchang 330004;School of Computer,Jiangxi University of Traditional Chinese Medicine,Nanchang 330004;School of Physical Education,Nanchang University,Nanchang 330031 China)
出处 《湘潭大学自然科学学报》 CAS 2018年第2期43-45,共3页 Natural Science Journal of Xiangtan University
关键词 特征提取 红外图像序列 图像分割 阈值分析 feature extraction infrared image sequence image segmentation threshold analysis
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  • 1李寒,牛纪桢,郭禾.基于特征点的全自动无缝图像拼接方法[J].计算机工程与设计,2007,28(9):2083-2085. 被引量:52
  • 2雷兢,刘石,李志宏,孙猛,刘靖.一种用于在线测量的电容层析成像图像重建算法[J].化工学报,2007,58(6):1421-1425. 被引量:6
  • 3张雪辉,王化祥.电容层析成像数字化系统设计[J].传感技术学报,2007,20(8):1826-1830. 被引量:6
  • 4赵辉,陈辉,于泓.一种改进的全景图自动拼接算法[J].中国图象图形学报,2007,12(2):336-342. 被引量:35
  • 5Turaga P,Chellappa R,Subrahmanian V S,Udrea O.Machine recognition of human activities:A survey.IEEE Transactions on Circuits and Systems for Video Technology,2008,18(11):1473-1488.
  • 6Wu Xin-Xiao,Xu Dong,Duan Li-Xin,Luo Jie-Bo.Action recognition using context and appearance distribution features//Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition.Colorado Springs,USA,2011:489-496.
  • 7Hu Qiong,Qin Lei,Huang Qing-Ming,et al.Action recog nition using spatial temporal context//Proceedings of the International Conference on Pattern Recognition.Istanbul,Turkey,2010:1521-1524.
  • 8Johansson G.Visual perception of biological motion and a model for its analysis.Perception and Psychophysics,1973,14:201-211.
  • 9Sun Ju,Wu Xiao,Yan Shui-Cheng,et al.Hierarchical spatio-temporal context modeling for action recognition// Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition.Florida,USA,2009:2004-2011.
  • 10Messing R,Pal C,Kautz H.Activity recognition using the velocity histories of tracked keypoints//Proceedings of the IEEE International Conference on Computer Vision.Kyoto,Japan,2009:104-111.

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