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The spatial connection system called the Virtual Window System has proposed as a communication system between remote places. Virtual Window System uses a vista image display called the virtual window. The virtual window assumes a metaphor of window between two neighbored rooms. The displayed scene image of VW is changed by shifting view position and view height. In this article, a new position sensing...
A novel calibration method for fisheye lens camera is proposed in this paper. The method is based on equidistance projection model of fisheye lens. The inner structure of the fisheye lens which consists of many pieces of lens is so complex that it is very difficult and unnecessary to construct its physical model. The optical center of the fisheye lens (u0,v0), the virtual focal of the fish-eye lens...
The paper introduces a new air flow analysis approach based on Particle Tracking Velocimetry (PTV). One of the special features of the proposed method is that after the tracer particles are detected, matching and tracing are conducted jointly. To this end, we introduce an interpretation module based on a directed hypergraph for 3D curve reconstruction. At first the 2D inter-frame locations are localised...
Obstacle avoidance is an important task for autonomous navigation. The paper presents a simple vision based obstacle detection and avoidance algorithm for mobile robots. Using a monocular vision system, a depth map is created in which every pixel of the image captured by the robot is classified in one of the two categories- ground or obstacle. A virtual triangular obstacle is then created on the depth...
In order to achieve the goal of high accuracy and low cost in a visual localization system, we present a novel localization method based on four inexpensive video cameras. The method mainly consists of two parts: The “16-points interpolation algorithm” is proposed to enhance the accuracy of 2D coordinates of the detected target on the image plane. Another important aspect is that the Perpendicular...
In order to estimate landmark direction angle to localize robot in an artificial environment based on omnidirectional image, this paper introduces the method about low pass filter noise elimination, artificial landmark features detection and landmark direction angle estimation algorithms. Landmark feature detection proposed that red landmark pixels beyond the threshold were extracted as a small area...
Simultaneous localization and mapping (SLAM) is a key research content of robot autonomous navigation, the visual monocular SLAM based on Extend Kalman Filter(EKF) is one important method to handle this problem. But due to high computational complexity, it has strict limits on the number and stability of the feature points, traditional method selects few corners like or straight lines as feature points,...
The triangulation method is the basic method for robots to exactly locate points in unknown environments. But the traditional triangulation method has the drawback that its solution is locally optimal. This paper devise a novel solution to triangulation in omnidirectional vision under the L∞-norm, which provides a theoretical guarantee of global optimality and a wide field of view. We give three different...
Conventional surveillance systems usually use multiple screens to display acquired video streams and may cause trouble to keep track of targets due to the lack of spatial relationship among the screens. This paper presents an effective and efficient surveillance system that can integrate multiple video contents into one single comprehensive view. To visualize the monitored area, the proposed system...
We present an approach for detecting and tracking independently moving objects from a mobile platform using uncalibrated stereo cameras. Firstly, scale invariant feature transform (SIFT) features are detected and a novel multiview matching method is proposed for simultaneous stereo matching and motion tracking of the detected features. A multiview geometric constraint, derived from the relative camera...
We proposed a tracking and location method for UAVs' Vision System. In our method, the target is extracted from the ROI (Region of Interested) automatically by an analysis of intensity value distribution; then the mean-shift tracker is used to get the target's position in the sequence images; The relative position of the target to the vision system in the real world is reconstructed just by monocular...
The estimation of fundamental matrix is a key problem in computer vision and also the basis of active vision. A new linear iterative algorithm for estimating the fundamental matrix has been presented. The algorithm is based on minimizing the actual distances between the projection points and their matched epipolar lines. The first two fundamental matrixes are computed with the information of images...
This paper present a fast image mosaicing method for an aerial reconnaissance CCD camera. In this method, geometric transformation is first done to supply a roughly registration area of images, and then image cross-correlation (CC) is proposed to precise the transformation parameters. Compared with the single CC method, measure of similarity for window pairs between reference and sensed images does...
It makes all the difference whether one recognizes objects through the clear or fuzzy image through a video. That is a so-called garbage in garbage out. In an imaging automatic identification system, in order to recognize the objects in a frame of a video correctly, it is very important to extract the clearest frame from the video. Based on observing the distribution of histogram for each frame from...
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