Internship - Computer Vision - Real-Time End-to-End Pedestrian Tracking

Since our founding, IDEMIA has been on a mission to unlock the world and make it safer through our cutting-edge identity technologies. Our technology leadership makes us the partner of choice for hundreds of governments and thousands of enterprises in over 180 countries, including some of the biggest and most influential brands in the world. In applying our unique expertise in biometrics and cryptography, we enable our clients to unlock simpler and safer ways to pay, connect, access, identify, travel and protect public places – at scale and in total security.

Our teams work from 5 continents and speak 100+ different languages. We strongly believe that our diversity is a key driver of innovation and performance.

Purpose

The internship builds on advances in transformer-based models for real-time end-to-end object detection, pioneered by DETR. Recently, DETR has been adapted for multi-object tracking (MOT) in two primary ways: 
MOTR leverages DETR’s architecture by propagating queries to track objects across video frames, while MOTIP retains DETR as a detector and formulates the MOT problem as an identity prediction task. The aim 
of this internship is to explore new architectural possibilities that could enhance the performance of end-to-end MOT systems further. For the sake of simplicity, we concentrate on pedestrian tracking, allowing us to prioritize 
architectural innovations without the complexity of varying object classes.

Key Missions

• Analyzing and understanding the current MOT model architecture and performance.
• Implementing modifications and optimizations to the MOT framework.
• Conducting experiments to evaluate tracking performance.
• Collaborating with researchers to refine methodologies and contribute to the overall project goals.
• Documenting findings and presenting results to stakeholders

Profile & Other Information

• Education: Engineering student from a prestigious school in the final year of the engineering cycle, or a Master's student (M2) specializing in computer vision, image processing, or Deep Learning
• Strong knowledge of computer vision and Deep Learning
• Proficiency in Python, OpenCV, and PyTorch (or similar frameworks)
• Solid training in data analysis and software development
• Proficient in English, both spoken and written (e.g., reading scientific articles, presenting work)
• Curious, proactive, and autonomous
• Results-oriented and solution-focused
• Clear and persuasive communication skills
• Desire to contribute to the complete lifecycle of an algorithm: design, implementation, integration, testing, and optimization

By choosing to work at IDEMIA, you will join a unique tech company, offering a wide range of growth opportunities. You will contribute to a safer world, collaborating with an international and global community. We value the diversity of our teams and welcome people from all walks of life, regardless of how they look, where they come from, who they love, or what they think.

We deliver cutting edge, future proof innovation that reach the highest technological standards and we’re transforming, fast, to stay a leader in a world that’s changing fast, too.

At IDEMIA, people can develop their expertise and feel a sense of ownership and empowerment, in a global environment, as part of a company with the ambition and the ability to change the world.

Visit our website to know more about the leader in Identity Technologies

www.idemia.com