Bayesian modeling of dynamic scenes for object detection

Bayesian Modelling of Dynamic Scenes for Object Detection

Accurate detection of moving objects is an important precursor to stable tracking or recognition. In this paper, we present an object detection scheme that has three innovations over existing approaches. Firstly, the model of the intensities of image pixels as independent random variables is challenged and it is asserted that useful correlation exists in intensities of spatially proximal pixels...

Thermal 3d Mapping for Object Detection in Dynamic Scenes

The automatic analysis of 3D point clouds has become a crucial task in photogrammetry, remote sensing and computer vision. Whereas modern range cameras simultaneously provide both range and intensity images with high frame rates, other devices can be used to obtain further information which could be quite valuable for tasks such as object detection or scene interpretation. In particular thermal...

Thermal 3d Mapping for Object Detection in Dynamic Scenes

The automatic analysis of 3D point clouds has become a crucial task in photogrammetry, remote sensing and computer vision. Whereas modern range cameras simultaneously provide both range and intensity images with high frame rates, other devices can be used to obtain further information which could be quite valuable for tasks such as object detection or scene interpretation. In particular thermal...

Dynamic Scenes and Appearance Modeling for Robust Object Detection and Matching Based on Co-occurrence Probability

Bayesian Decision Fusion for Dynamic Multi-Cue Object Detection

Visual object detection using single cue information has been successfully applied in various tasks, in particular for near range recognition. While robust classification and probabilistic representation enhance 2D pattern recognition performance, they are ’per se’ restricted due to the limited information content of single cues. The contribution of this work is to demonstrate performance impro...