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基于稀疏表示的特定目标识别 被引量：3

Special object recognition based on sparse representation
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摘要 针对轮廓检测系统输出采样信号的特点,结合稀疏表示及主成分分析理论,提出了一种基于稀疏表示的特定目标识别方法。该方法首先通过主成分分析提取采样信号的主要成分以消除冗余信息,同时将信号转换为相同维数的特征向量,然后将特征向量投影到低维空间构造出字典,通过该字典对测试信号进行稀疏表示、识别。数值仿真与现场实验结果表明:该方法在低维空间下具有很好的识别效果;并结合实际情况,对有损坏传感器的系统进行测试,结果表明本文方法具有较好的鲁棒性。 According to the output signal characteristics of the profile detecting system, special object the lower dimensional space to construct a dictionary. Finally, the testing samples are sparsely represented and recognized by the dictionary. Numerical simulations and experiments show that the proposed method has good classification effect in lower dimensional space, and good robustness for the system with some damage sensors in the actual situation.
作者 查长军 孙南 张成 韦穗
机构地区 安徽大学计算智能与信号处理教育部重点实验室 合肥学院机器视觉与智能控制技术重点实验室 中国人民解放军
出处 《吉林大学学报（工学版）》 EI CAS CSCD 北大核心 2013年第1期256-260,共5页 Journal of Jilin University:Engineering and Technology Edition
基金 高等学校博士学科点专项科研基金项目(20113401130001)
关键词 信息处理技术 稀疏表示 轮廓识别 特征提取 information processing sparse representation profiling recognition feature extraction
分类号 TN911.74 [电子电信—通信与信息系统]
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参考文献14

  • 1Russomanno David J, Chari Srikan, Emmanuel Kenny, et al. Testing and evaluation of profiling sensors for perimeter security[J]. ITEA, 2010,31 ( 1 ) : 121- 130.
  • 2Sartain Ronald B, Aliberti Keith, Alexander Troy, et al. Long-wave infrared profile feature extractor (PFx) sensor[J]. Proc of SPIE, 2009,7333(11):1- 7.
  • 3Hastie Trevor, Tibshirani Robert, Friedman Jerome. The Elements of Statistical Learning[M]. New York: Springer-Verlag, 2001:14-18.
  • 4Chari Srikant, Halford Carl, Jacobs Eddie, et al. Classification of humans and animals using an infrared profiling sensor[J]. Proc of SPIE, 2009,7333 (10) :1-9.
  • 5Russomanno David, Chari Srikan, Halford Carl Sparse detector imaging sensor with two-class silhouette classification[J]. Sensors, 2008 (8) : 7996-8015.
  • 6Chen S, Donoho D, Saunders M. Atomic decomposition by basis pursuit[J]. SIAM Review, 2001, 43 (1) :129-159.
  • 7Li Yu-long, Feng Ju-fu. Sparse represention shape model[C]// Proceedings of 2010 IEEE 17th ICIP, 2010:2733-2736.
  • 8Estabridis Katia. Automatic target recognition via sparse representations [J]. Proc of SPIE, 2010, 7696(0) :1-9.
  • 9Aharon M, Eald M, Bruckstein A M. The K-SVD an algorithm for designing of overcomplete dictionaries for sparse representations[J]. IEEE Transactions on Image Processing, 2006, 54 (11): 4311-4322.
  • 10Wright John, Yang Allen Y, Ganesh Arvind, et al. Robust face recognition via sparse representation[J]. IEEE Transactions on PAMI, 2009, 31(2):1- 18.

同被引文献41

  • 1Russomanno David J, Chari Srikan, Emmanuel Kenny, et al. Testing and evaluation of profiling sensors for perimeter seeurity[J]. ITEA, 2010,31(1): 121-130.
  • 2Sartain Ronald B, Aliberti Keith, Alexander Troy, et al. Long-wave infrared profile feature extractor (PFx) sensor [C] // Proc of SHE, Unattended Ground, Sea, and Air Sensor Technologies and Applications XI,Orlando, FL,2009.
  • 3Russomanno David J, Chari Srikant, Jacobs Eddie L,et al. Near-IR sparse detector sensor for intelli- gent electronic fence applications[J]. IEEE Sensors Journal, 2010, 10(6):1106-1107.
  • 4Chari Srikant, Halford Carl, Jacobs Eddie, et al.Classification of humans and animals using an infra- red profiling sensor[C]//Proc of SPIE, Unattended Ground, Sea, and Air Sensor Technologies and Applications XI,Orlando, FL,2009.
  • 5Russomanno David, Chari Srikan, Halford Carl. Sparse detector imaging sensor with two-class sil houette classification[J]. Sensors, 2008 (8): 7996-8015.
  • 6Reynolds R K, Chari S, Russomanno D J. Embed- ded real-time classifier for profiling sensors and cus- tom detector configuration [C]// Proc of SPIE, Ground/Air Multisensor tion, and Networking for Interoperability, Integra Persistent ISR II,2011.
  • 7Chen S, Donoho D, Saunders M. Atomic decompo- sition by basis pursuit[J]. SIAM Review, 2001, 43 (1) : 129-159.
  • 8Li Yu-long, Feng Ju-fu. Sparse represention shape model[C]//Proceedings of 2010 IEEE 17th ICIP, 2010:2733-2736.
  • 9Wright John, Yang Allen Y, Ganesh Arvind, et al.Robust face recognition via sparse representation [J]. IEEE Transactions, PAMI, 2009, 31(2):1- 18.
  • 10Yang Jian, Zhang David, Frangi Alejandro F, et al. Two-dimensional PCA: a new approach to appear- ance-based face representation and recognition[J]. IEEE Transactions on Pattern Analysis and Machine Intelligence, 2004,26(1) : 131-137.

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吉林大学学报（工学版）
2013年 第1期

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