Feature Extraction and Object Classification for Target Identification at Wireless Multimedia Sensor Networks

Date

2014-04-25

Author

Civelek, Muhsin
Yilmazer, Cengiz
Yazıcı, Adnan
Korkut, Fazli Oncul

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This work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.

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In this paper, it is investigated the processes for automatic identification of the targets without personnel intervention in wireless multimedia sensor networks. Methods to extract the features of the object from the multimedia data and to classify the target type based on the extracted features are proposed within the scope of this study. The success of the proposed methods are tested by implementing a Matlab application and the results are presented in this paper

Subject Keywords

Video, Sensor, Feature extraction, Classification

URI

https://hdl.handle.net/11511/53381

Conference Name

22nd IEEE Signal Processing and Communications Applications Conference (SIU)

Collections

Department of Computer Engineering, Conference / Seminar

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Citation Formats

M. Civelek, C. Yilmazer, A. Yazıcı, and F. O. Korkut, “Feature Extraction and Object Classification for Target Identification at Wireless Multimedia Sensor Networks,” presented at the 22nd IEEE Signal Processing and Communications Applications Conference (SIU), Karadeniz Teknik Univ, Trabzon, TURKEY, 2014, Accessed: 00, 2020. [Online]. Available: https://hdl.handle.net/11511/53381.