The paper presents a fusion-tracker and pedestrian classifier for color and thermal cameras. The tracker builds a background model as a multi-modal distribution of colors and temp...
The likelihood models used in probabilistic visual tracking applications are often complex non-linear and/or nonGaussian functions, leading to analytically intractable inference. ...
A novel Statistical Approach for F0 Estimation, SAFE, is proposed to improve the accuracy of F0 tracking under both clean and additive noise conditions. Prominent Signal-to-Noise ...
This paper presents an activity recognition approach based on the tracking of a specific human actor’s current object manipulation actions, complemented by two kinds of situation...
Dipak Surie, Thomas Pederson, Fabien Lagriffoul, L...
Abstract. In this paper we consider databases representing information about moving objects (e.g. vehicles), particularly their location. We address the problems of updating and qu...
Ouri Wolfson, Liqin Jiang, A. Prasad Sistla, Sam C...