Ve tor Road Map Registration to Oblique Wide Area Motion Imagery by Exploiting Vehi le Movements
نویسندگان
چکیده
We present a novel methodology for a urately registering a ve tor road map to wide area motion imagery (WAMI) gathered from an oblique perspe tive by exploiting the lo al motion asso iated with vehi ular movements. Spe i ally, we identify and ompensate for global motion from frame-to-frame in the WAMI whi h then allows ready dete tion of lo al motion that orresponds strongly with the lo ations of moving vehi les along the roads. Minimization of the hamfer distan e between
منابع مشابه
Vector Road Map Registration to Oblique Wide Area Motion Imagery by Exploiting Vehicle Movements
We present a novel methodology for accurately registering a vector road map to wide area motion imagery (WAMI) gathered from an oblique perspective by exploiting the local motion associated with vehicular movements. Specifically, we identify and compensate for global motion from frame-to-frame in the WAMI which then allows ready detection of local motion that corresponds strongly with the locat...
متن کاملObject Detection in Wide Area Aerial Surveillance Imagery with Deep Convolutional Networks
Wide Area Aerial Surveilllance (WAAS) technology, alternatively called Wide Area Motion Imagery (WAMI), and Wide Area Persistent Surveillance (WAPS), is capable of monitoring many square kilometers of land for extended periods of time, particularly if used in conjunction with Unmanned Aerial Vehicle (UAV) platforms. It has applications in security, traffic monitoring, and emergency management, ...
متن کاملPersistent Electro-Optical/Infrared Wide-Area Sensor Exploitation
In this paper, we discuss algorithmic approaches for exploiting wide-area persistent EO/IR motion imagery for multisensor geo-registration and automated information extraction, including moving target detection. We first present enabling capabilities, including sensor auto-calibration and automated high-resolution 3D reconstruction using passive 2D motion imagery. We then present algorithmic ap...
متن کاملVehicle Detection and Tracking in Wide Area Motion Imagery by Co-Registering and Exploiting Vector Roadmaps
Wide Area Motion Imagery (WAMI) is an emerging technology that allow images to be captured for relatively large areas that span substantial parts of a city with high spatial detail typically at low temporal rates. WAMI captured imagery is feeding a corresponding thrust in large scale visual data analytics such as large scale vehicle tracking. The effectiveness of such analytics can be enhanced ...
متن کاملSupplementary Material for “Automatic Registration of Vector Road Maps with Wide Area Motion Imagery by Exploiting Vehicle Detections”
This document provides supplementary material, for the paper [2]. In Section S.I, we provide geographical coordinates for the WAMI datasets used in our evaluation. In Section S.II, we summarize file format and other information for the datasets. In Section S.III, we describe how we align successive WAMI frames efficiently and detect tentative vehicle locations in a WAMI frame. In Section S.IV, ...
متن کامل