A
Ali Azarbayejani
Researcher at Massachusetts Institute of Technology
Publications - 35
Citations - 8359
Ali Azarbayejani is an academic researcher from Massachusetts Institute of Technology. The author has contributed to research in topics: Motion estimation & Animation. The author has an hindex of 17, co-authored 35 publications receiving 8228 citations. Previous affiliations of Ali Azarbayejani include Mitsubishi Electric Research Laboratories.
Papers
More filters
Journal ArticleDOI
Pfinder: real-time tracking of the human body
TL;DR: Pfinder is a real-time system for tracking people and interpreting their behavior that uses a multiclass statistical model of color and shape to obtain a 2D representation of head and hands in a wide range of viewing conditions.
Proceedings ArticleDOI
Pfinder: real-time tracking of the human body
TL;DR: Pfinder uses a multi-class statistical model of color and shape to obtain a 2-D representation of head and hands in a wide range of viewing conditions, useful for applications such as wireless interfaces, video databases, and low-bandwidth coding.
Journal ArticleDOI
Recursive estimation of motion, structure, and focal length
Ali Azarbayejani,Alex Pentland +1 more
TL;DR: Presents a formulation for recursive recovery of motion, pointwise structure, and focal length from feature correspondences tracked through an image sequence, yielding a stable and accurate estimation framework which applies uniformly to both true perspective and orthographic projection.
Journal ArticleDOI
Visually controlled graphics
TL;DR: Interactive graphics systems that are driven by visual input and an extension to the basic technique to include structure recovery is discussed, quantitatively comparing the accuracy of the visual technique with traditional sensing.
Proceedings ArticleDOI
Invariant features for 3-D gesture recognition
TL;DR: Ten different feature vectors are tested in a gesture recognition task which utilizes 3D data gathered in real-time from stereo video cameras, and HMMs for learning and recognition of gestures.