inria-00545478, version 1 - 16 Oct 2012

Through on-the-fly environment 3D reconstruction, based on visual clues, we propose an integrated method to detect and localise static and moving obstacles, whose position,

We propose to precede the application of a dynamic vision system by a pre-calibration stage, where a model for the interdependence of intrinsic parameters is established.. We show,

2.3. Aggregation of color features by Choquet Integral Foreground objects can be made by the fusion of different features with a Choquet integral. For each pixel, similar- ity

In order to ad- dress these major difficulties of multispectral imaging for video surveillance, this paper propose an online stochastic framework for tensor decomposition

Furthermore, we proposed a target recognition method designed to cope with the illumination problems, the distortion of the omnidirectional image and the inherent dissimilarity

More pre- cisely, we investigate the use of the well-known Mahalanobis distance [9], the combination of background subtraction results obtained on each spectral band of

In this section, we discuss the implementation details of the proposed algorithm depicted in figure 2.The algorithm consists of three major steps : Selection of objects

Based on a known background estimation and a fixed camera, the algorithm is able to detect moving objects and locates them at video rate, moreover this method is used for