A novel statistical approch for detection and tracking of objects is presented here, which uses both edge and color information in a particle filter. The approach does not need an...
In this paper we present a general framework for object detection and segmentation. Using a bottom-up unsupervised merging algorithm, a region-based hierarchy that represents the ...
In this article, we will develop parallel processing of one-sided Radon transform for the detection of the position and the orientation of a planar motion object. Detection of pla...
This paper presents an approach to performing time-critical collision detection for deformable objects. The deformable objects are represented by dense meshes and their deformatio...
— Robust object detection is a critical skill for robotic applications in complex environments like homes and offices. In this paper we propose a method for using multiple camer...