This paper evaluates the performance of several popular corner detectors using two newly defined criteria. The majority of authors of published corner detectors have not used theo...
We address recognition and localization of human actions in realistic scenarios. In contrast to the previous work studying human actions in controlled settings, here we train and ...
We have built a system that engages naive users in an audiovisual interaction with a computer in an unconstrained public space. We combine audio source localization techniques wit...
Sunsern Cheamanunkul, Evan Ettinger, Matt Jacobsen...
This paper presents an online detection-based two-stage multi-object tracking method in dense visual surveillances scenarios with a single camera. In the local stage, a particle f...
In this paper, we examine several localization algorithms and evaluate their robustness to attacks where an adversary attenuates or amplifies the signal strength at one or more lan...