Accolades for the best paper of the Year

Accolades for the best paper of the Year

Elsevier Journal of Visual Communication and Image Representation awarded authors Ferda Ofli, Rizwan Chaudhry, Gregorij Kurillo, René Vidal, Ruzena Bajcsy for their contribution titled Sequence of the most informative joints (SMIJ): A new representation for human skeletal action recognition

The paper proposes a new representation of extremely interpretable human actions as a sequence of the most informative joints. Experiments conducted on multiple databases showed that human action represented as sequence of the most informative joints performed better than several state-of-the-art algorithms. Read More

August 25th, 2016 / Category : CareerGeneral