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The task of removing rain is of great significance for outdoor vision systems such as video surveillance, vision based navigation and so on. Rain produces complex time varying intensity fluctuations in images or videos, which seriously reduce the performance of outdoor vision systems. Due to similar visual appearances of rain and moving objects, the current rain removal algorithms cannot easily distinguish...
In this paper we present an effective and robust system to classify fruits under varying pose and lighting conditions tailored for an object recognition system on a mobile platform. Therefore, we present results on the effectiveness of our underlying segmentation method using RGB as well as depth cues for the specific technical setup of our robot. A combination of RGB low-level visual feature descriptors...
Edge detection plays an important role in many advanced robot applications. Sometimes the boundaries of objects should be extracted. This paper proposes an edge detection algorithm that combining both color and depth data. Firstly, the Canny operator is applied to the color and depth image to extract initial edges. Then the color-edges are optimized using depth information to eliminate non-boundary...
Motion detection is foundation of service robot vision in Human-Robot Interaction (HRI). Foreground detection is an important step of the motion detection. If the foreground detected is not correct, the motion detected will be wrong. To improve the efficiency and robustness of motion detection for HRI, a motion detection system for HRI based on image parameters and HRI context (MDIPC system) is proposed,...
Crossing a door is usually a necessary action for autonomous patrol of an indoor surveillance robot. However, it is difficult for a large robot to cross narrow doors. In this paper, a method for detecting, locating and crossing a door for an indoor surveillance robot with Kinect is presented. Firstly, doors are detected and located based on RGB-D data collected form Kinect. Then, the conversion between...
In this paper a stereo-vision based framework is presented to track the motion of a table-tennis ball in motion-blurred images. In the proposed approach, first the motion direction is identified by minimizing L2 norm of directional derivatives of the blurred image and the motion width is estimated using the bounding rectangle of the foreground object. Then more accurate motion parameters of the ball...
In this paper, we propose a new approach to detect hand-waving motion in crowds. Different from previous approaches which are often based on segmentation and motion detection, our method can be seen as a complexity reduction process from the problem of 3D motion detection to 2D object detection. Through arranging the same row of per video frame along the time sequence, we obtain 2D images composed...
Automatic power line recognition from cluttered background is an important and challenging task for a vision based unmanned aerial vehicles (UAVs) power line inspection system. In this paper, we propose a power line recognition method based on liner object enhancement and parallel lines constraint. A new double-side filter is proposed to enhance the power lines, and then the radon transform is used...
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