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We propose a novel framework for tracking non-rigid objects via pixel classification and integration (PCI). Given a new input frame, the tracker first performs object classification on each pixel and then finds the region that has the highest integral of scores. There are several key advantages of the proposed approach: it is computationally very efficient; it finds a global, instead of local (e.g...
We present a computer vision based system that enables multiple people to interact naturally with a large display table using their own bare-hand gestures. The display presents and supports a particular multimedia application that can be used at the same time even by remote users. Finally we describe two different applications designed for didactic and entertainment scenarios
Many of the existing image processing applications, in particular the construction of super-resolution videos, require an accurate high-speed motion tracking algorithm. This paper proposes an efficient recursive approach that recovers 3D motion from a stereo image sequence with high precision based on the trifocal tensor. In the computation process, neither the 3D structure of the scene nor its reconstruction...
This paper proposes a new approach to track a human head in 3D voxel space. Information of both color and distance is obtained from multiple stereo cameras and integrated in 3D voxel space. Formulating a likelihood function from voxel location and its color information can achieve stable tracking with particle filtering in 3D voxel space
This paper presents a novel methods to estimate the coordinates of a 3D object using the four vertices of a quadrangle and to track the markerless feature points. These methods are basic and important problems in augmented reality. However, many tracking solutions are dependent on fiducial markers in video or known coordinate systems which are required to superimpose virtual objects on frames. In...
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