Pre-Doc - Long-Term Multi-Object Tracking For Video Interpretation Applications H/F - INRIA

A propos d'Inria

Inria est l'institut national de recherche dédié aux sciences et technologies du numérique. Il emploie 2600 personnes. Ses 215 équipes-projets agiles, en général communes avec des partenaires académiques, impliquent plus de 3900 scientifiques pour relever les défis du numérique, souvent à l'interface d'autres disciplines. L'institut fait appel à de nombreux talents dans plus d'une quarantaine de métiers différents. 900 personnels d'appui à la recherche et à l'innovation contribuent à faire émerger et grandir des projets scientifiques ou entrepreneuriaux qui impactent le monde. Inria travaille avec de nombreuses entreprises et a accompagné la création de plus de 200 start-up. L'institut s'eorce ainsi de répondre aux enjeux de la transformation numérique de la science, de la société et de l'économie.Pre-Doc - Long-Term Multi-Object Tracking for video interpretation applications
Le descriptif de l'offre ci-dessous est en Anglais
Type de contrat : CDD

Contrat renouvelable : Oui

Niveau de diplôme exigé : Bac +5 ou équivalent

Fonction : Chercheur contractuel

A propos du centre ou de la direction fonctionnelle

The Inria center at Université Côte d'Azur includes 42 research teams and 9 support services. The center's staff (about 500 people) is made up of scientists of dierent nationalities, engineers, technicians and administrative staff. The teams are mainly located on the university campuses of Sophia Antipolis and Nice as well as Montpellier, in close collaboration with research and higher education laboratories and establishments (Université Côte d'Azur, CNRS, INRAE, INSERM ...), but also with the regional economic players.

With a presence in the fields of computational neuroscience and biology, data science and modeling, software engineering and certification, as well as collaborative robotics, the Inria Centre at Université Côte d'Azur is a major player in terms of scientific excellence through its results and collaborations at both European and international levels.

Contexte et atouts du poste

Inria, the French National Institute for Computer Science and Applied Mathematics, promotes scientific excellence for technology transfer and society. Graduates from the world's top universities, Inria's 2,700 employees rise to the challenges of digital sciences. With its open, agile model, Inria can explore original approaches with its partners in industry and academia and provide an efficient response to the multidisciplinary and application challenges of digital transformation. Inria is the source of many innovations that add value and create jobs.

Team

The STARS research team combines advanced theory with cutting-edge practice, focusing on cognitive vision systems.

Team website:

The contract is part of a collaboration with theANR COMSEMA Project on Semantic Communications for People Re-Identification based on Multiple Camera Flow Analysis.

Project website: https://sites.google.com/view/comsema/

Scientific context

This project aims to develop advanced methods for long-term multi-object tracking (MOT) and People Re-Id, an essential task for video surveillance. Multi-object tracking involves locating targets while maintaining unique identities, enabling precise analysis of the movements and interactions of people or other subjects of interest in high-density environments.

The ANR COMSEMA project focuses on video interpretation applications and proposes to redesign information processing and transmission using a semantic-based approach. This includes studying wireless errors' impact on semantic accuracy, developing new encoding/decoding methods that account for network disruptions, and moving beyond the assumption of error-free semantic transmission. The project aims to create novel wireless systems that optimize task-specific performance rather than traditional bit-rate metrics, including the development of AI-based interference management systems focused on successful task completion.

Mission confiée

We consider a person re-identification application using a network of cameras. These cameras are connected through a wireless network. Semantic representation extraction is carried out locally at the camera level, so that only the semantic part is transmitted across the network, without any loss of quality in terms of video analysis accuracy. In particular, we are interested in re-identifying people through a network of remote cameras. This involves calculating a visual signature (i.e., an embedding) of a person observed by one camera, transmitting it over the network to see if this person reappears on another camera. To do this, we calculate the distance between the visual signatures of the people detected on the different cameras. If the transmission is carried out without loss of quality on the visual signature, we can re-identify the person with reasonable accuracy on the other camera. Another use-case consists in detecting abnormal situations or atypical behaviours. To do this, we will extract a numerical descriptor characterizing a person's behaviour (i.e., an embedding) on one camera, then calculate the evolution of this descriptor over time. And if this evolution becomes atypical in relation to a previously calculated distribution, an alert could be triggered.

Principales activités

The Inria STARS team is seeking an engineer or a pre-doc with a strong background in computer vision, deep learning, and machine learning.

Compétences

Candidates must hold a Master's or Engineering degree or equivalent in Computer Science or a closely related discipline by the start date.

The candidate must be grounded in computer vision basics and have solid mathematical and programming skills.

With theoretical knowledge in Computer Vision, OpenCV, Mathematics, Deep Learning (PyTorch, TensorFlow), and technical background in C++ and Python programming, and Linux.

The candidate must be committed to scientific research and substantial publications.

In order to protect its scientific and technological assets, Inria is a restricted-access establishment. Consequently, it follows special regulations for welcoming any person who wishes to work with the institute. The final acceptance of each candidate thus depends on applying this security and defense procedure.

Avantages

- Subsidized meals
- Partial reimbursement of public transport costs
- Leave: 7 weeks of annual leave + 10 extra days off due to RTT (statutory reduction in working hours) + possibility of exceptional leave (sick children, moving home, etc.)
- Possibility of teleworking and flexible organization of working hours
- Professional equipment available (videoconferencing, loan of computer equipment, etc.)
- Social, cultural and sports events and activities
- Access to vocational training
- Contribution to mutual insurance (subject to conditions)

Rémunération

1801 gross per month