摘要
基于视觉的人体动作识别是图像处理、计算机视觉、模式识别、机器学习、人工智能等多个学科的交叉研究课题,在视频监控、视频检索、人机交互、虚拟现实、医疗看护等领域具有深远的理论研究意义和很强的实用价值.文中从特征提取的方法、动作识别的方法、相关国际竞赛与常用数据库等方面详细阐述该领域目前的研究现状以及研究难点与可能的发展方向.
Visual Human Action Recognition is a universal hot topic of image processing, computer vision, pattern recognition, machine learning and artificial intelligence with wide applications in video surveillance, video retrieval, human-computer interaction, virtual reality, health care, etc. In this paper, we analyze the state-of-the-arts and advances of this field from perspectives of feature extraction, action recognition methods as well as benchmark datasets and competitions. In addition, the problems, difficulties, challenges and valuable future directions of human action recognition are presented.
出处
《计算机学报》
EI
CSCD
北大核心
2013年第12期2512-2524,共13页
Chinese Journal of Computers
基金
国家"九七三"重点基础研究发展规划项目课题(2009CB320906)
国家自然科学基金(61025011
61133003
61035001
61003165)
北京市自然科学基金(4111003)资助~~
关键词
计算机视觉
模式识别
视觉特征提取
人体动作识别
computer vision
pattern recognition
visual feature extraction
human action recognition