中国科学院机构知识库网格
Chinese Academy of Sciences Institutional Repositories Grid
Adaptive learning codebook for action recognition

文献类型:期刊论文

作者Kong, Yu1,2; Zhang, Xiaoqin2; Hu, Weiming2; Jia, Yunde1
刊名PATTERN RECOGNITION LETTERS
出版日期2011-06-01
卷号32期号:8页码:1178-1186
关键词Action recognition Visual codebook Metric learning
英文摘要Learning a compact and yet discriminative codebook is an important procedure for local feature-based action recognition. A common procedure involves two independent phases: reducing the dimensionality of local features and then performing clustering. Since the two phases are disconnected, dimensionality reduction does not necessarily capture the dimensions that are greatly helpful for codebook creation. What's more, some dimensionality reduction techniques such as the principal component analysis do not take class separability into account and thus may not help build an effective codebook. In this paper, we propose the weighted adaptive metric learning (WAML) which integrates the two independent phases into a unified optimization framework. This framework enables to select indispensable and crucial dimensions for building a discriminative codebook. The dimensionality reduction phase in the WAML is optimized for class separability and adaptively adjusts the distance metric to improve the separability of data. In addition, the video word weighting is smoothly incorporated into the WAML to accurately generate video words. Experimental results demonstrate that our approach builds a highly discriminative codebook and achieves comparable results to other state-of-the-art approaches. (C) 2011 Elsevier B.V. All rights reserved.
WOS标题词Science & Technology ; Technology
类目[WOS]Computer Science, Artificial Intelligence
研究领域[WOS]Computer Science
收录类别SCI
语种英语
WOS记录号WOS:000290745100011
源URL[http://ir.ia.ac.cn/handle/173211/3245]  
专题自动化研究所_模式识别国家重点实验室_视频内容安全团队
作者单位1.Beijing Inst Technol, Sch Comp Sci, Beijing Lab Intelligent Informat Technol, Beijing 100081, Peoples R China
2.Inst Automat, Natl Lab Pattern Recognit, Beijing 100190, Peoples R China
推荐引用方式
GB/T 7714
Kong, Yu,Zhang, Xiaoqin,Hu, Weiming,et al. Adaptive learning codebook for action recognition[J]. PATTERN RECOGNITION LETTERS,2011,32(8):1178-1186.
APA Kong, Yu,Zhang, Xiaoqin,Hu, Weiming,&Jia, Yunde.(2011).Adaptive learning codebook for action recognition.PATTERN RECOGNITION LETTERS,32(8),1178-1186.
MLA Kong, Yu,et al."Adaptive learning codebook for action recognition".PATTERN RECOGNITION LETTERS 32.8(2011):1178-1186.

入库方式: OAI收割

来源:自动化研究所

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