Speed Estimation Thanks to Two Images from One Stationary Camera
نویسنده
چکیده
This paper presents speed estimation of a moving object thanks to two images captured within a known time interval from one stationary uncalibrated camera. The development is currently applicable to rigid objects animated by a pure translation and requires the localization of corresponding points in both images and the specification of one real dimension. An interesting solution based on an equivalent stereo problem is suggested. It considers the object stationary and searches for the virtual camera motion which would produce the same images. The mathematical formulation is simple using 3D vectors and the camera parameters: focal length, CCD size and pixel size. The developed software package was tested for vehicle speed second assessment of the velocity captured by the LIDAR system LMS-06 of secuRoad SA.
منابع مشابه
Camera Pose Estimation in Unknown Environments using a Sequence of Wide-Baseline Monocular Images
In this paper, a feature-based technique for the camera pose estimation in a sequence of wide-baseline images has been proposed. Camera pose estimation is an important issue in many computer vision and robotics applications, such as, augmented reality and visual SLAM. The proposed method can track captured images taken by hand-held camera in room-sized workspaces with maximum scene depth of 3-4...
متن کاملFinding the Epipoles of a Sequence of Images for Forward Moving Camera
Finding epipoles of a sequence of images has been an important topic of considerable research in the field of computer vision. Epipole is the main feature in epipolar geometry which has enormous demand in computer vision. In most of the cases epipole is estimated from two images and the images are taken by two stationary cameras or by one stationary camera from two different locations. But if t...
متن کاملAdaptative projection on a mobile planar surface
A similar solution has already been proposed by [1]. The authors have developed a system able to project video content on a stationary planar surface while moving a projector. To continuously adapt the projection, they rely on the three homographies between the screen, the camera and the projector. Since these homographies are related and the one between the screen and the camera does not chang...
متن کاملAutocalibration of a Projector-Screen-Camera System: Theory and Algorithm for Screen-to-Camera Homography Estimation
This paper deals with the autocalibration of a system that consists of a planar screen, multiple projectors, and a camera. In the system, either multiple projectors or a single moving projector projects patterns on a screen while a stationary camera placed in front of the screen takes images of the patterns. We treat the case in which the patterns that the projectors project toward space are as...
متن کاملThe Time Adaptive Self Organizing Map for Distribution Estimation
The feature map represented by the set of weight vectors of the basic SOM (Self-Organizing Map) provides a good approximation to the input space from which the sample vectors come. But the timedecreasing learning rate and neighborhood function of the basic SOM algorithm reduce its capability to adapt weights for a varied environment. In dealing with non-stationary input distributions and changi...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
عنوان ژورنال:
دوره شماره
صفحات -
تاریخ انتشار 2012