In this paper we propose a high-S/N imaging method involving combining many images captured with small blur using a video camera capable of high-frame-rate image capturing at 1000...
We introduce novel discriminative learning algorithms for dynamical systems. Models such as Conditional Random Fields or Maximum Entropy Markov Models outperform the generative Hi...
A motion-based, correspondence-free technique for human gait recognition in monocular video is presented. We contend that the planar dynamics of a walking person are encoded in a ...
Video provides not only rich visual cues such as motion and appearance, but also much less explored long-range temporal interactions among objects. We aim to capture such interact...
José, Lezama, Karteek Alahari, Josef Sivic, Ivan ...
Detection of motion patterns in video data can be significantly simplified by abstracting away from pixel
intensity values towards representations that explicitly and compactly ca...