Identification of people from gait captured on video has become a challenge problem in computer vision. However, there is not a baseline algorithm or standard dataset for measuri...
P. Jonathon Phillips, Patrick Grother, Sudeep Sark...
A vision system is demonstrated that adaptively allocates computational resources over multiple cues to robustly track a target in 3D. The system uses a particle filter to mainta...
Gareth Loy, Luke Fletcher, Nicholas Apostoloff, Al...
In this paper, we present a scheme for face authentication in the presence of variations. To deal with variations, such as facial expressions and registration errors, with which t...
Xiaoming Liu 0002, Tsuhan Chen, B. V. K. Vijaya Ku...
In this paper, we propose a fast and robust method for tracking a user’s hand and multiple fingertips; we then demonstrate gesture recognition based on measured fingertip traj...
We present a robust implementation of stereo-based head tracking designed for interactive environments with uncontrolled lighting. We integrate fast face detection and drift reduc...
Louis-Philippe Morency, Ali Rahimi, Neal Checka, T...
Robust, real-time, fully automatic tracking of facial features is required for many computer vision and graphics applications. In this paper, we describe a fully automatic system ...
In this paper we present a template-based method of motion estimation which tracks two-handed-gestures. In our method the gesturing information of temporal motion and spatial lumi...