Christos Kyrkou – Medium

Christos Kyrkou

Christos Kyrkou

DeepCamera: Following Targets Without Bounding Boxes… End-to-end active vision

This work proposes a supervised learning technique to control active cameras with Deep Convolutional Neural Networks to go directly from…

5 min readMar 13, 2021

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DeepCamera: Following Targets Without Bounding Boxes… End-to-end active vision

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Christos Kyrkou

Counting from the Air: Vehicle counting per Lane from on board a UAV for real-time traffic…

“The flexibility and cost efficiency of traffic monitoring using Unmanned Aerial Vehicles (UAVs) has made such a proposition an attractive…

4 min readDec 2, 2019

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Counting from the Air: Vehicle counting per Lane from on board a UAV for real-time traffic…

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Christos Kyrkou

Changing input size of pre-trained models in Keras

Keras is a useful API for deep learning that also includes various pretrained models that you can used for transfer learning.

4 min readAug 20, 2019

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Changing input size of pre-trained models in Keras

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Christos Kyrkou

Training a deep-learning classifier for aerial top view detection of vehicles

Deep learning approaches have demonstrated state-of-the-art performance in various computer vision tasks such as object detection and…

5 min readMar 27, 2018

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Training a deep-learning classifier for aerial top view detection of vehicles

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Christos Kyrkou

UDACITY SDCE Nanodegree Term 3 — Project 2: Advanced Deep Learning and Semantic Segmentation

The objective of this project is to label pixels corresponding to road in images using a Fully Convolutional Network (FCN).

3 min readDec 27, 2017

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UDACITY SDCE Nanodegree Term 3 — Project 2: Advanced Deep Learning and Semantic Segmentation

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Christos Kyrkou

UDACITY SDCE Nanodegree Term 3 — Project 1: Path Planning

The goal of this project was to design a path planner that is able to create smooth, safe paths for the car to follow along a 3-lane…

6 min readDec 25, 2017

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UDACITY SDCE Nanodegree Term 3 — Project 1: Path Planning

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Christos Kyrkou

Object Detection Using Local Binary Patterns

LBPs are local patterns that describe the relationship between a pixel and its neighborhood.

4 min readNov 2, 2017

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Object Detection Using Local Binary Patterns

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Christos Kyrkou

Color Thresholding in OpenCV

Filtering and feature extraction are both very important tasks for efficient object recognition in embedded vision systems.

2 min readOct 30, 2017

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Color Thresholding in OpenCV

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Christos Kyrkou

An Introduction to Parallel Computing

“Parallel computing” stands for the ability of computer systems to perform multiple operations simultaneously. The main driver behind…

7 min readOct 26, 2017

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Christos Kyrkou

Detecting Objects in images with machine learning tools

Object detection deals with determining whether an object of interest is present in an image/video frame or not. It is a necessary task for…

5 min readOct 25, 2017

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Detecting Objects in images with machine learning tools

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Christos Kyrkou

Christos Kyrkou

Research Lecturer at the KIOS Research & Innovation Center of Excellence at the University of Cyprus. Research in the areas of Computer Vision and Deep Learning

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