Search Results for author: Erkan Bostanci

Found 14 papers, 0 papers with code

A new Video Synopsis Based Approach Using Stereo Camera

no code implementations23 Jun 2021 Talha Dilber, Mehmet Serdar Guzel, Erkan Bostanci

By using this method, the video data is processed as pixels and the result is produced as a video segment.

Anomaly Detection

Analysis of Interpolation based Image In-painting Approaches

no code implementations12 Feb 2021 Mustafa Zor, Erkan Bostanci, Mehmet Serdar Guzel, Erinc Karatas

Interpolation and internal painting are one of the basic approaches in image internal painting, which is used to eliminate undesirable parts that occur in digital images or to enhance faulty parts.

SSIM

Comparative Performance of Machine Learning Algorithms in Cyberbullying Detection: Using Turkish Language Preprocessing Techniques

no code implementations29 Jan 2021 Emre Cihan Ates, Erkan Bostanci, Mehmet Serdar Guzel

The aim of this study is to compare the performance of different machine learning algorithms in detecting Turkish messages containing cyberbullying.

Computers and Society

Machine Learning Based Early Fire Detection System using a Low-Cost Drone

no code implementations21 Jan 2021 Ayşegül Yanık, Mehmet Serdar Güzel, Mertkan Yanık, Erkan Bostanci

This paper proposes a new machine learning based system for forest fire earlier detection in a low-cost and accurate manner.

BIG-bench Machine Learning Fire Detection

A Vehicle Detection Approach using Deep Learning Methodologies

no code implementations2 Apr 2018 Abdullah Asim Yilmaz, Mehmet Serdar Guzel, Iman Askerbeyli, Erkan Bostanci

The purpose of this study is to successfully train our vehicle detector using R-CNN, Faster R-CNN deep learning methods on a sample vehicle data sets and to optimize the success rate of the trained detector by providing efficient results for vehicle detection by testing the trained vehicle detector on the test data.

Genetic Algorithm Based Floor Planning System

no code implementations20 Apr 2017 Hamide Ozlem Dalgic, Erkan Bostanci, Mehmet Serdar Guzel

Genetic Algorithms are widely used in many different optimization problems including layout design.

Layout Design

A Fuzzy Brute Force Matching Method for Binary Image Features

no code implementations20 Apr 2017 Erkan Bostanci, Nadia Kanwal, Betul Bostanci, Mehmet Serdar Guzel

This is mainly due to the image content which is affected by the scene, lighting and imaging conditions.

Comparative Study of Instance Based Learning and Back Propagation for Classification Problems

no code implementations19 Apr 2016 Nadia Kanwal, Erkan Bostanci

The paper presents a comparative study of the performance of Back Propagation and Instance Based Learning Algorithm for classification tasks.

General Classification Imputation

Enhanced image feature coverage: Key-point selection using genetic algorithms

no code implementations10 Dec 2015 Erkan Bostanci

It is shown with statistical tests on two datasets that the metric yields better coverage and this is also confirmed by an accuracy test on the computed homography for the original set and the newly selected set of features.

3D Reconstruction of Crime Scenes and Design Considerations for an Interactive Investigation Tool

no code implementations10 Dec 2015 Erkan Bostanci

Crime Scene Investigation (CSI) is a carefully planned systematic process with the purpose of acquiring physical evidences to shed light upon the physical reality of the crime and eventually detect the identity of the criminal.

3D Reconstruction

Sensor Fusion of Camera, GPS and IMU using Fuzzy Adaptive Multiple Motion Models

no code implementations9 Dec 2015 Erkan Bostanci, Betul Bostanci, Nadia Kanwal, Adrian F. Clark

A tracking system that will be used for Augmented Reality (AR) applications has two main requirements: accuracy and frame rate.

Motion Estimation Pose Estimation +1

Is Hamming distance the only way for matching binary image feature descriptors?

no code implementations8 Dec 2015 Erkan Bostanci

Brute force matching of binary image feature descriptors is conventionally performed using the Hamming distance.

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