How to Track and Localize Objects in Video with Python?

In this tutorial, you will learn how to use Video Object Tracking API in 5 minutes using Python. Eden AI provides an easy and developer-friendly API that allows you to track objects in videos.

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What is Video Object Tracking API?

Video Object Tracking API is a technology that uses Computer Vision algorithms to detect and track specific objects in a video. These APIs can be integrated into existing systems, making it easy to obtain valuable information from pre-recorded or real-time video.

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Video Object Tracking is used in a variety of applications, such as security and surveillance, robotics, autonomous vehicles, gaming, video editing, and video analytics.

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Get Started with Object Tracking API using Python

The first step is to install Python's requests package, that will allow you to call Eden AI API.

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Next, you'll need to install Python's JSON package in order to read and print the result of the API request.

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How to use Object Tracking API with Python

You are now ready to process your video file into Eden AI Object Tracking API.

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1. Get an Video Object Tracking API Key on Eden AI

To perform Video Object Tracking in videos, you'll need to create an account on Eden AI for free. Then, you will be able to get your API key directly from the homepage with free credits offered by Eden AI.

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2. Let’s Track Objects in your Video File

Now that you have imported packages on Python and got your API key, you will be able to track objects in videos. With Eden AI, you can choose from a wide range of engines you want for Video Object Tracking. You can access the list of Object Tracking providers available on Eden AI directly on our documentation.

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Here is the Python script you need to write on your notebook:

For example, we called two different Object Tracking engines. Eden AI API will then return in its JSON response results of those providers.

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Eden AI Object Tracking API is an asynchronous API. It means that you will get in response an ID:

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Then you will need to perform a GET request to check the status of the API request (success, processing, failed):

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You will first get this response:

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Once the request is done (status : finished), you will be able to get the result with this print:

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Here is an example of a result for Video Object Tracking task:

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Benefits of using Video Object Tracking API with Eden AI

As you can see, using Video Object Tracking with Eden AI API is quick and easy.

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Save time and cost

We offer a unified API for all providers: simple and standard to use, with a quick switch between providers and an access to the specific features of each provider.

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Easy to integrate

The JSON output format is the same for all suppliers thanks to Eden AI's standardisation work. The response elements are also standardised thanks to Eden AI's powerful matching algorithms.

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Customization

With Eden AI you have the possibility to integrate a third-party platform: we can quickly develop connectors. To go further and customize your Video Object Tracking request with specific parameters, check out our documentation.

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