Aircraft tracking (CV Project final part)

In this article, I’m going to present the final part of our computer vision project namely moving object detection, tracking, positioning, and speed estimation using only a single camera. This part contains an example of ‘visual aircraft tracking’. The project has been finally completed using python and opencv library. After giving the required reference libraries […]

Custom object tracker (CV Project part 4)

Visual object trackers are commonly used in computer vision applications. The goal of a tracker is to estimate the location of a target of interest in each frame of an image sequence. There are plenty of trackers in the literature. Some of them are based on convolutional neural networks (CNN). It has been shown that […]

3D positioning using single camera (CV Project part 3)

In this post, I’m going to use only one camera to determine the 3D position of a target whose size is known apriori. The extracted position will be in the camera coordinate system. In the first step, I’m going to execute a calibration stage. For this, first I take the photos of a known object […]

Kalman filter for visual tracking (CV Project part 2)

In this article, I’m going to present the details of Kalman filtering which is one of the most important subjects in engineering. It is also essential for our computer vision project. After giving some information about the method, I will share the python codes at the end. In this project, we will use the Kalman […]

Sosyal medya verisi ile Dolar-TL tahmini (Turkish)

Bu makalede twitter verisi kullanarak Dolar-TL’deki hareketler tespit edilebilir mi sorusunu yanıtlamaya çalışacağım. Günümüzde her gün milyonlarca tweet atılmakta ve bu tweet’ler büyük veri olarak değerlendirildiğinde bir çok konuda toplumsal konsensus çıkarımı yapılabilmektedir. Bunun için ilk olarak büyük verinin elde edilmesi ve bu verilerden çeşitli istatistik bilgilerinin çıkarılması gerekmektedir. Bu deneyde web tabanlı bir servis […]

A hybrid moving object detector (CV project part 1)

In this article, I’m going to talk about the first part of my computer vision project namely a hybrid method for moving object detection. After discussing the details of the method, I will share the python codes. The rest of the project will be shared in the upcoming posts. As I mentioned in the previous […]

Object detection, tracking, and 3D positioning using a single camera

In this article, I’m going to share some results of my computer vision project namely moving object detection, tracking, 3D positioning, and speed estimation using only a single camera. The project has been completed using opencv and python. This post will summarize the project and in the upcoming posts I will present the details step […]

Deep Reinforcement Learning test results for Litecoin, Ripple, and Binance Coin

In the previous post, I shared the trading results for Bitcoin data using deep reinforcement learning approach. I have also tested the model with some other coins using the same trained deep network. In this post, I’m going to share the results for Litecoin, Ripple, and Binance Coin. Remember that the training data was recorded […]

Deep Reinforcement Learning for algorithmic trading (Test results 2)

After publishing the deep Q-learning test results, I have received several responses and questions. I found most of them useful and based on them I prepared a new test configuration. In this article, I’m going to share new results on the subject deep reinforcement learning for algorithmic trading. First, I want to list some of […]

Feature extraction class version 2: Adding choppiness index and x indicator

In this post, I’m going to talk about the new version of our feature extraction class. You may have a look at the old version by browsing the following link: A complete feature extraction class for algorithmic trading In the old version, the features were ‘rsi’,’bandwidth’,’percent-b’, ‘cv’ and the rate of change values such as, […]