no code implementations • 8 Apr 2014 • Duc Phu Chau, François Bremond, Monique Thonnat, Slawomir Bak
The tracking algorithm performance depends on video content.
no code implementations • 22 Jul 2013 • Duc Phu Chau, Julien Badie, François Bremond, Monique Thonnat
In order to solve this problem, this paper proposes an online parameter tuning to adapt a tracking algorithm to various scene contexts.
no code implementations • 13 May 2013 • Duc Phu Chau, Monique Thonnat, François Bremond
In order to decrease this dependency, this paper presents a learning approach to adapt the tracker parameters to the context variations.
no code implementations • 18 Apr 2013 • Duc Phu Chau, François Bremond, Monique Thonnat
Mobile object tracking has an important role in the computer vision applications.
no code implementations • 9 Apr 2021 • Laura M. Ferrari, Guy Abi Hanna, Paolo Volpe, Esma Ismailova, François Bremond, Maria A. Zuluaga
A limiting factor towards the wide routine use of wearables devices for continuous healthcare monitoring is their cumbersome and obtrusive nature.
no code implementations • 15 Oct 2021 • Dhruv Agarwal, Tanay Agrawal, Laura M. Ferrari, François Bremond
Multimodal Deep Learning has garnered much interest, and transformers have triggered novel approaches, thanks to the cross-attention mechanism.