Statistical learning & computer vision: affective computing, action modeling and tracking at SEQAM Lab

October 4, 2013 at 3:00 pm by

Place: SEQAM LAB, Piscataway New Jersey, USA
Affiliation: Sequence Analysis and Modeling (SEQAM) Lab at Rutgers,


In this talk I will present an overview of our recent work at the intersection of machine learning and computer vision at the Sequence Analysis and Modeling (SEQAM) Lab at Rutgers,

I will focus on and briefly describe advances and techniques developed in the lab for four research problems: spontaneous affective facial state estimation, spatio-temporal activity recognition, multitarget discriminative tracking, and distributed statistical learning for camera networks.
Time permitting, I will also describe some of our prior work on large scale image and sequence annotation and retrieval.




Watch the Video Presentation