CN105956604B - 一种基于两层时空邻域特征的动作识别方法 - Google Patents
一种基于两层时空邻域特征的动作识别方法 Download PDFInfo
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- G06F18/00—Pattern recognition
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CN106845375A (zh) * | 2017-01-06 | 2017-06-13 | 天津大学 | 一种基于层级化特征学习的动作识别方法 |
CN109241932B (zh) * | 2018-09-21 | 2021-07-06 | 长江师范学院 | 一种基于运动方差图相位特征的热红外人体动作识别方法 |
CN112929732B (zh) * | 2019-12-06 | 2022-07-08 | 腾讯科技(深圳)有限公司 | 视频的处理方法、装置和计算机存储介质 |
CN111368762A (zh) * | 2020-03-09 | 2020-07-03 | 金陵科技学院 | 基于改进的K-means聚类算法的机器人手势识别方法 |
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CN102043967A (zh) * | 2010-12-08 | 2011-05-04 | 中国科学院自动化研究所 | 一种有效的运动目标行为建模与识别方法 |
CN104298974A (zh) * | 2014-10-10 | 2015-01-21 | 北京工业大学 | 一种基于深度视频序列的人体行为识别方法 |
CN104408396A (zh) * | 2014-08-28 | 2015-03-11 | 浙江工业大学 | 一种基于时间金字塔局部匹配窗口的动作识别方法 |
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CN102043967A (zh) * | 2010-12-08 | 2011-05-04 | 中国科学院自动化研究所 | 一种有效的运动目标行为建模与识别方法 |
CN104408396A (zh) * | 2014-08-28 | 2015-03-11 | 浙江工业大学 | 一种基于时间金字塔局部匹配窗口的动作识别方法 |
CN104298974A (zh) * | 2014-10-10 | 2015-01-21 | 北京工业大学 | 一种基于深度视频序列的人体行为识别方法 |
Non-Patent Citations (2)
Title |
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Recognising action as clouds of space-time interest points;Bregonzio,M 等;《2014 IEEE Conference on Computer Vision and Pattern Recognition》;20091231;第1948-1955页 * |
基于局部时空特征的人体行为软分类识别;吕温;《计算机与现代化》;20140330(第3期);第94-99页 * |
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