智能系统学报Issue(5)：577-583,7.DOI:10.3969/j.issn.1673-4785.201307057
一种简便的视角无关动作识别方法
Study on a simple view-invariant action recognition method
摘要
Abstract
It is difficult to recognize the human actions under view changes in daily living.In order to solve this problem, a novel multi-view space hidden Markov model algorithm for view-invariant action recognition based on view space partitioning is proposed in this paper.First, the whole view space is partitioned into multiple sub-view spaces according to the rotation direction of a person relative to camera.Next, a view-robust feature representation by combination of the bag of interest point words in shot length-based video and amplitude histogram of local optical flow is utilized for describing the information of human actions.Thereafter, the human action models in each sub-view space are trained by HMM algorithm.Finally, the unknown view action is recognized via the likelihood proba-bility weighted fusion of the corresponding action models in multi-view space.The experimental results on multi-view action recognition dataset IXMAS demonstrated that the proposed approach is easy to implement and has satis-factory performance for the unknown view action recognition.关键词
动作识别/视角无关/视角空间切分/兴趣点/光流特征/混合特征/隐马尔可夫模型/似然概率加权融合Key words
action recognition/view-invariant/view-space partitioning/interest points/optical flow/mixed fea-ture/hidden Markov model/likelihood probability weighted fusion分类
信息技术与安全科学引用本文复制引用
王策,姬晓飞,李一波..一种简便的视角无关动作识别方法[J].智能系统学报,2014,(5):577-583,7.基金项目
国家自然科学基金资助项目（61103123）． （）
