A direct method called fixation is introduced for solving the general motion vision problem, arbitrary motion relative to an arbitrary environment. This method results in a linear constraint equation which explicitly expresses the rotational velocity in terms of the translational velocity. The combination of this constraint equation with the Brightness-Change Constraint Equation solves the gene...

2. Materials and Methods We attached a color marker on each instrument tip so that the position of the marker in the image can be found in real-time by simple color segmentation. In fact, however, the original color of the instrument may be often lost due to too strong illumination, which is a problem particular to endoscopic images. We coped with this problem by utilizing the brightness compon...

This paper explores the feasibility of using an eye tracker as an image retrieval interface. A database of image similarity values between 1000 Corel images is used in the study. Results from participants performing image search tasks show that eye tracking data can be used to reach target images in fewer steps than by random selection. The effects of the intrinsic difficulty of finding images ...

In this paper, we implement a real-time surveillance system for image object tracking using PTZ (Pan-Tilt-Zoom) cameras. For this, we use the mean shift tracking algorithm based on the color image distribution of detected object. Mean shift algorithm is efficient for real-time tracking because of its fast and stable performance. In this system, OpenCV environment is used for image processing an...

In this contribution we describe a visual marker-less realtime tracking system for Augmented Reality applications. The system uses a fisheye lens mounted on a firewire camera with 10 fps for visual tracking of 3D scene points without any prior scene knowledge. All visual-geometric data is acquired online during the tracking using a structure-frommotion approach. 2D Image features in the hemisph...

This paper describes a new method for detection and tracking of moving objects from a moving camera image sequence using robust estimation and active contour models. We assume that the apparent background motion between two consecutive image frames can be approximated by affine transformation. In order to register the static background, we estimate affine transformation parameters using LMedS (...