Bayesian Co-Boosting for Multi-modal Gesture Recognition

	Bayesian Co-Boosting for Multi-modal Gesture Recognition
	Wu, Jiaxiang; Cheng, Jian
发表期刊	JOURNAL OF MACHINE LEARNING RESEARCH
	2014-10-01
卷号	15 期号:1 页码:3013-3036
文章类型	Article
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.
关键词	Gesture Recognition Bayesian Co-boosting Hidden Markov Model Multimodal Fusion Feature Selection
WOS标题词	Science & Technology ; Technology
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研究方向	Automation & Control Systems ; Computer Science
WOS类目	Automation & Control Systems ; Computer Science, Artificial Intelligence
WOS记录号	WOS:000344638800006
引用统计	被引频次：21[WOS] [WOS记录] [WOS相关记录]
文献类型	期刊论文
条目标识符	http://ir.ia.ac.cn/handle/173211/3355
专题	紫东太初大模型研究中心_图像与视频分析
作者单位	Chinese Acad Sci, Inst Automat, natl Lab Pattern Recognit, Beijing 100190, Peoples R China
第一作者单位	模式识别国家重点实验室
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(1):3013-3036.
APA	Wu, Jiaxiang,&Cheng, Jian.(2014).Bayesian Co-Boosting for Multi-modal Gesture Recognition.JOURNAL OF MACHINE LEARNING RESEARCH,15(1),3013-3036.
MLA	Wu, Jiaxiang,et al."Bayesian Co-Boosting for Multi-modal Gesture Recognition".JOURNAL OF MACHINE LEARNING RESEARCH 15.1(2014):3013-3036.

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