Bayesian Co-Boosting for Multi-modal Gesture Recognition
文献类型：期刊论文
| 作者 | Wu, Jiaxiang ; Cheng, Jian
|
| 刊名 | JOURNAL OF MACHINE LEARNING RESEARCH
 |
| 出版日期 | 2014-10-01 |
| 卷号 | 15页码:3013-3036 |
| 关键词 | gesture recognition Bayesian co-boosting hidden Markov model multimodal fusion feature selection |
| 英文摘要 | With the development of data acquisition equipment, more and more modalities become available for gesture recognition. However, there still exist two critical issues for multimodal gesture recognition: how to select discriminative features for recognition and how to fuse features from different modalities. In this paper, we propose a novel Bayesian Co-Boosting framework for multi-modal gesture recognition. Inspired by boosting learning and co-training method, our proposed framework combines multiple collaboratively trained weak classifiers to construct the final strong classifier for the recognition task. During each iteration round, we randomly sample a number of feature subsets and estimate weak classifier's parameters for each subset. The optimal weak classifier and its corresponding feature subset are retained for strong classifier construction. Furthermore, we define an upper bound of training error and derive the update rule of instance's weight, which guarantees the error upper bound to be minimized through iterations. For demonstration, we present an implementation of our framework using hidden Markov models as weak classifiers. We perform extensive experiments using the ChaLearn MMGR and ChAirGest data sets, in which our approach achieves 97.63% and 96.53% accuracy respectively on each publicly available data set. |
| WOS标题词 | Science & Technology ; Technology |
| 类目[WOS] | Automation & Control Systems ; Computer Science, Artificial Intelligence |
| 研究领域[WOS] | Automation & Control Systems ; Computer Science |
| 关键词[WOS] | HIDDEN MARKOV-MODELS ; SPARSE REPRESENTATION ; FACE RECOGNITION ; TIME-SERIES ; SELECTION ; MFCC |
| 收录类别 | SCI |
| 语种 | 英语 |
| WOS记录号 | WOS:000344638800006 |
| 源URL | [http://ir.ia.ac.cn/handle/173211/3355]  |
| 专题 | 自动化研究所_模式识别国家重点实验室_图像与视频分析团队 |
| 作者单位 | Chinese Acad Sci, Inst Automat, natl Lab Pattern Recognit, Beijing 100190, Peoples R China |
| 推荐引用方式 GB/T 7714 | Wu, Jiaxiang,Cheng, Jian. Bayesian Co-Boosting for Multi-modal Gesture Recognition[J]. JOURNAL OF MACHINE LEARNING RESEARCH,2014,15:3013-3036. |
| APA | Wu, Jiaxiang,&Cheng, Jian.(2014).Bayesian Co-Boosting for Multi-modal Gesture Recognition.JOURNAL OF MACHINE LEARNING RESEARCH,15,3013-3036. |
| MLA | Wu, Jiaxiang,et al."Bayesian Co-Boosting for Multi-modal Gesture Recognition".JOURNAL OF MACHINE LEARNING RESEARCH 15(2014):3013-3036. |
入库方式： OAI收割
来源：自动化研究所
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