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The goal is to monitor the traffic of passing vehicles within an area of interest (e.g. highway) through the installation of a set of cameras and other types of sensors (e.g. radar) capable of observing the area from different viewpoints and with partially overlapping fields of view.

**The Challenge**

The system needs to integrate information from multiple viewpoints and be able to detect all vehicles in the area of interest in real time, classify them, accurately locate them and track their movement. There is also the need to synchronize video streams, calibrate different viewpoints, and manage occlusions, all in real time.

**The Solution**

We integrated artificial intelligence and computational vision techniques for vehicle recognition and classification with multi-target tracking, stochastic filtering, and data fusion techniques for vehicle tracking.

**Results and Benefits**

Intervention methods enable effective vehicle identification.

Find out how Data Fusion and Computer Vision work together to effectively identify, locate and track vehicles. Discover more!

Vehicle Tracking via Computer Vision

Gain powerful insights from images and videos through object recognition and tracking algorithms

Image Analysis

Vehicle detection and tracking using multiple cameras

The state-of-the-art in computer vision has advanced by leaps and bounds in the last ten years. Robust and reliable systems, made possible by technological advances as well as by the availability of massive quantities of **visual data**, are able to perform tasks undreamed of only a few years ago. Autonomous driving systems, video surveillance, real time text translation, and image captioning are just a few examples of the applications that are being radically transformed by deep learning applied to computer vision. 

Deix is in a **unique position** to offer deep learning solutions to advanced vision problems. Members of the Scientific Committee are recognized **leaders** in the field of **object recognition** and **segmentation**, as well as video surveillance, self-supervised learning, domain adaptation, and the emerging topics of incremental and contrastive learning.

A specialty of Deix is our **holistic approach** to problems with significant computer vision components to them. With our diverse portfolio of expertise, we are able to analyze new challenges not only from the perspective of the core vision problem, but also from **other perspectives** such as the (often hidden) **optimization** or **sensor fusion** problems hidden in the broader problem context. 

In all of this, Deix brings decades of experience with computer vision, deep learning, optimization and sensor fusion to bear on real-world vision problems.

In the field of Computer Vision we develop solutions for high-performance Object Recognition, Segmentation and Tracking in images and videos.

Vehicle Tracking

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