A NEW SPARSE CODING APPROACH FOR HUMAN FACE AND ACTION RECOGNITION

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NIKPOUR MOHSEN; KARAMI MOLAEI MOHAMMAD REZA; GHADERI REZA

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Paper Information

Journal: Journal of Information Systems and Telecommunication Year:2017 | Volume:5 | Issue:1 Page(s): 16-24

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Title

A NEW SPARSE CODING APPROACH FOR HUMAN FACE AND ACTION RECOGNITION

Author(s)

NIKPOUR MOHSEN | KARAMI MOLAEI MOHAMMAD REZA | GHADERI REZA | Issue Writer Certificate

Keywords

SPARSE CODING

MANIFOLD LEARNING

GRAPH REGULARIZATION

AFFINITY

IMAGE REPRESENTATION

IMAGE CLASSIFICATION

Abstract

SPARSE CODING is an unsupervised method which learns a set of over-complete bases to represent data such as image, video and etc. In the cases where we have some similar images from the different classes, using the SPARSE CODING method the images may be classified into the same class and devalue classification performance. In this paper, we propose an Affine Graph Regularized SPARSE CODING approach for resolving this problem. We apply the SPARSE CODING and graph regularized SPARSE CODING approaches by adding the AFFINITY constraint to the objective function to improve the recognition rate. Several experiments has been done on well-known face datasets such as ORL and YALE. The first experiment has been done on ORL dataset for face recognition and the second one has been done on YALE dataset for face expression detection. Both experiments have been compared with the basic approaches for evaluating the proposed method. The simulation results show that the proposed method can significantly outperform previous methods in face classification. In addition, the proposed method is applied to KTH action dataset and the results show that the proposed SPARSE CODING approach could be applied for action recognition applications too.

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APA: Copy

NIKPOUR, MOHSEN, KARAMI MOLAEI, MOHAMMAD REZA, & GHADERI, REZA. (2017). A NEW SPARSE CODING APPROACH FOR HUMAN FACE AND ACTION RECOGNITION. JOURNAL OF INFORMATION SYSTEMS AND TELECOMMUNICATION (JIST), 5(1), 16-24. SID. https://sid.ir/paper/332727/en

Vancouver: Copy

NIKPOUR MOHSEN, KARAMI MOLAEI MOHAMMAD REZA, GHADERI REZA. A NEW SPARSE CODING APPROACH FOR HUMAN FACE AND ACTION RECOGNITION. JOURNAL OF INFORMATION SYSTEMS AND TELECOMMUNICATION (JIST)[Internet]. 2017;5(1):16-24. Available from: https://sid.ir/paper/332727/en

IEEE: Copy

MOHSEN NIKPOUR, MOHAMMAD REZA KARAMI MOLAEI, and REZA GHADERI, “A NEW SPARSE CODING APPROACH FOR HUMAN FACE AND ACTION RECOGNITION,” JOURNAL OF INFORMATION SYSTEMS AND TELECOMMUNICATION (JIST), vol. 5, no. 1, pp. 16–24, 2017, [Online]. Available: https://sid.ir/paper/332727/en

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