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As cameras become cheaper and gain popularity, vision-based input devices are highly desired and may now become a feasible solution. In this paper, a vision-based virtual piano mechanism is proposed. By tacking and analyzing the motion of the fingertips, the system can detect keystrokes and play the corresponding note on a seven-key virtual piano. Experimental results show the precision and efficiency...
In order to study the spatio-temporal characteristics of human lower limbs at different walking speeds, VICON MX three-dimensional motion capturing system was adopted to measure the three dimensional motion trajectories of lower limbs when human were walking on the treadmill. Through Matlab and Origin Pro7.5, the joint angles of lower limbs were calculated and gait cycles were divided. The results...
In this paper, new video stabilization system is presented for robot eye. This system is biologically inspired by the human vestibulo-ocular reflex. Feature tracker with inertial sensor is proposed to estimate the motion more accurately and fast. The rotational motion measured by the inertial sensor is incorporated into the KLT tracker in order to predict a position of feature in current frame. This...
This paper presents target motion estimation for multiple air vehicles. The motion of the airborne target is estimated by vision information from camera sensors fixed to the followers. Each camera sensors provides information of the target by three angles: an azimuth angle, an elevation angle, and a subtended angle. In the frame work of information filter, each follower estimates position, velocity...
We present a method to estimate the position and the orientation of a hand from a captured image for applications which need to manipulate instinctively and freely using a hand. We use a hand as a tool instead of an input device such as a mouse or a marker, and we use only a web camera instead of multiple-camera or an infrared camera, in order to improve mobility and usability. We focused on four...
In this paper, we propose a method of measuring the orientation of observed objects as a parametric model. The orientation is represented as angle of observed objects. We suppose that optical flow obtained from image have component of not only component of translational velocity but also revolution, scaling, and orientation. To estimate these components, it is necessary to construct nonlinear simultaneous...
In most of the existing shot boundary detection algorithms, the false/miss detection problem caused by motion is very serious. In this paper, firstly, we propose a new spatio-temporal slice called projected spatio-temporal slice (PSTS) that can effectively eliminate disturbance caused by motion. Then we present approaches for detecting camera cuts, fades and dissolves based on motion estimation of...
Fast and efficient disparity estimation and compensation are the key techniques in multi-view video processing. When implementing multi-view video coding, there are lots of temporal and inter-viewpoint redundancy among viewpoints, which makes the compression work more challenging. It is found that the inter-viewpoint relationship is subject to the epipolar geometry, which provides constraints between...
Object detection in aviation video is very important in many occasions. Through research on characteristic of aviation video image, and analyzing of motion estimation theory, an object detection technique based on motion vector compensation and statistical analysis is proposed. Through effective image preprocessing, noise that influenced the capacity of algorithm is removed through a Bayesian estimation...
A method for automatic speed measurements of spherical objects using a digital camera is presented. Conventional speed measurement techniques use radar or laser based devices, which are usually more expensive compared to a passive camera system. In this work, a single image captured with object motion is used to estimate the speed of a spherical object (such as baseball). Due to the relative motion...
This paper describes the application of real time vision system for dynamic tracking of moving objects, using image motion. The study encompasses experimental development of an intelligent system that works in ordinary light and is capable of tracking moving objects with unpredictable motion. In this research the task of mobile target tracking using a pan-and-tilt camera is considered with motion-based...
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