Object Extraction and Classification in Video Surveillance Applications

Date

2017-05-01

Author

Civelek, Muhsin
Yazıcı, Adnan

Metadata

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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 we review a number of methods used in video surveillance applications in order to detect and classify threats. Moreover, the use of those methods in wireless surveillance networks contributes to decreasing the energy consumption of the devices because it reduces the amount of information transferred through the network. In this paper we focus on the most popular object extraction and classification methods that are used in both wired and wireless surveillance applications. We also develop an application for identification of objects from video data by implementing the selected methods and demonstrate the performance of these methods on pre-recorded videos using the outputs of this application.

Subject Keywords

Evacuation, Tracking, System

URI

https://hdl.handle.net/11511/33246

Journal

EUROPEAN REVIEW

DOI

https://doi.org/10.1017/s1062798716000582

Collections

Department of Computer Engineering, Article

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Citation Formats

M. Civelek and A. Yazıcı, “Object Extraction and Classification in Video Surveillance Applications,” EUROPEAN REVIEW, pp. 246–259, 2017, Accessed: 00, 2020. [Online]. Available: https://hdl.handle.net/11511/33246.