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

Civelek, Muhsin
Yilmazer, Cengiz
Yazıcı, Adnan
Korkut, Fazli Oncul
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
22nd IEEE Signal Processing and Communications Applications Conference (SIU)


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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.