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

Metadata

Show full item record

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

Item Usage Stats

180
views

0
downloads

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

Suggestions

OpenMETU
Core

Automated Moving Object Classification in Wireless Multimedia Sensor Networks Civelek, Muhsin; Yazıcı, Adnan (2017-02-15) The use of wireless multimedia sensor networks (WMSNs) for surveillance applications has attracted the interest of many researchers. As with traditional sensor networks, it is easy to deploy and operate WMSNs. With inclusion of multimedia devices in wireless sensor networks, it is possible to provide data to users that is more meaningful than that provided by scalar sensor-based systems alone; however, producing, storing, processing, analyzing, and transmitting multimedia data in sensor networks requires co...
An Adaptive, energy-aware and distributed fault-tolerant topology-control algorithm for heterogeneous wireless sensor networks Deniz, Fatih; Yazıcı, Adnan; Bağcı, Hakkı; Department of Computer Engineering (2016) Wireless sensor networks (WSNs) are being used in numerous fields, such as battlefield surveillance, environmental monitoring and traffic control. They are typically composed of large numbers of tiny sensor nodes with limited resources. Because of their limitations and because of the environments they are being used, there are problems unique to WSNs. Due to the error-prone nature of wireless communication, especially in harsh environments, fault-tolerance emerges as an important property in WSNs. Also, bec...
Duty cycle optimization in energy harvesting sensor networks with application to bluetooth low energy / Akgün, Berk; Uysal Bıyıkoğlu, Elif; Department of Electrical and Electronics Engineering (2014) The intracluster communication protocols of wireless sensor networks (WSNs) in the literature are designed according to time division multiple access (TDMA) with random slot allocations. This thesis proposes a novel scheduling algorithm for WSNs, in which cluster members (CMs) request time slots according to their energy predictions, and cluster head (CH) assigns these slots to members. The aim of this work is to increase the network lifetime by arranging the duty cycling of wireless sensor nodes. The simul...
Feature Detection and Tracking for Extraction of Crowd Dynamics Gunduz, Ayse Elvan; Temizel, Alptekin; Temizel, Tugba Taskaya (2013-01-01) Extraction of crowd dynamics from video is the fundamental step for automatic detection of abnormal events. However, it is difficult to obtain sufficient performance with object tracking due to occlusions and insufficient resolution of the objects in the scene. As a result, optical flow or feature tracking methods are preferred in crowd videos. These applications also require algorithms to work in real-time. In this work, we investigated the applicability and performance of feature detection and tracking al...
Path planning and localization for mobile anchor based wireless sensor networks Erdemir, Ecenaz; Tuncer, Temel Engin; Department of Electrical and Electronics Engineering (2017) In wireless sensor networks, sensors with limited resources are distributed in a wide area. Localizing the sensors is an important problem. Anchor nodes with known positions are used for sensor localization. A simple and efficient way of generating anchor nodes is to use mobile anchors which have built-in GPS units. In this thesis, a single mobile anchor is used to traverse the region of interest to communicate with the sensor nodes and identify their positions. Therefore planning the best trajectory for th...

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.