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Showing 1 to 20 of 106 for “"Moving objects"”.

  1. Indexing for moving objects

    … enable accurate tracking of continuously moving objects. This development poses new challenges to database technology since maintaining up-to-date information regarding the location of moving objects incurs an enormous amount of updates. Furthermore, some applications require high degree …

    nus Repository record for Indexing for moving objects (opens in a new tab)

  2. On analysing deformable (moving) objects

    Performing a high level vision is usually based on features extracted at low and intermediate levels of the process of perception of a visual scene.<br/><br/>Segmentation and matching are instrumental tasks in producing comparable features in applications such as medical imaging, mining and oil …

    soton Repository record for On analysing deformable (moving) objects (opens in a new tab)

  3. Tracking moving objects in surveillance video

    … to the detection and tracking of potential objects of interest in surveillance video. The aim was to investigate and develop methods that might be suitable for eventual application through embedded software, running on a fixed-point processor, in analytics capable cameras. The work considers …

    cent-lancashire Repository record for Tracking moving objects in surveillance video (opens in a new tab)

  4. The production of sound by moving objects

    Thesis (Ph.D.)--Massachusetts Institute of Technology, Dept. of Physics, 1980.

    mit Repository record for The production of sound by moving objects (opens in a new tab)

  5. On line tracking of moving objects from moving platforms

    … belt, which carries material removed by a moving pavement trimmer, above the bed of a moving dump truck. The present report describes the analytical design and practical control of a tracking system for positioning the conveyor. Initial tests were conducted on a Unimation PUMA robot. The …

    unlv Repository record for On line tracking of moving objects from moving platforms (opens in a new tab)

  6. Detection and representation of moving objects for video surveillance

    … been introduced for the automatic detection of moving objects (such as people and vehicles) in video surveillance sequences. The first technique analyses the original video and exploits spatial and temporal information to find those pixels in the images that correspond to moving objects. The …

    ghent Repository record for Detection and representation of moving objects for video surveillance (opens in a new tab)

  7. Visual perception of moving objects: Effects of velocity and direction

    … and direction of travel on the perception of a moving object. The effect of these changes on time-to-contact judgements was also investigated. Despite the extensive literature studying the perception of velocity, no substantive conclusions can be drawn as to the relationship between differing …

    uiuc Repository record for Visual perception of moving objects: Effects of velocity and direction (opens in a new tab)

  8. A Sequential Hypothesis Testing Approach to Detecting Small, Moving Objects in Image Sequences

    … for the detection of small, barely discernible moving objects of unknown position and velocity in a sequence of digital images. First, statistically robust prewhitening techniques are used to eliminate background structure and transform the image sequence into an innovations representation, …

    uiuc Repository record for A Sequential Hypothesis Testing Approach to Detecting Small, Moving Objects in Image Sequences (opens in a new tab)

  9. A Deep Learning Approach to the Detection and Tracking of Moving Objects in 2D Point Clouds

    The detection and tracking of moving objects (DATMO) are crucial tasks that any autonomous vehicle must perform. Autonomous vehicles must detect and track all obstacles to ensure safety within the environment while also completing their tasks efficiently. In autonomous driving research, LiDAR is …

    york Repository record for A Deep Learning Approach to the Detection and Tracking of Moving Objects in 2D Point Clouds (opens in a new tab)

  10. Depth map recovery from videos

    … depth maps from a video sequence with a moving camera and moving objects. Our approach isolates moving objects of each frame and estimates the depth of the scene and the moving objects separately. It takes advantage of the fact that the surfaces that belong to the same object share …

    uiuc Repository record for Depth map recovery from videos (opens in a new tab)

  11. Learning-based control of a cyberoctopus

    … control models, especially when engaging with moving objects or coordinating multiple arms. Additionally, existing studies on soft arm manipulation have primarily focused on end-effectors, leaving whole-arm manipulation largely unexplored. To address these challenges, my research employs a …

    uiuc Repository record for Learning-based control of a cyberoctopus (opens in a new tab)

  12. Mining periodicity and object relationship in spatial and temporal data

    … extensively studied data mining algorithms for moving objects. I have contributed several key algorithms to this exciting field. I have proposed the very first work to detect periodicity from movement data even if the movement only has rough periodicity and has lots of non-periodic random …

    uiuc Repository record for Mining periodicity and object relationship in spatial and temporal data (opens in a new tab)

  13. Efficient Concurrent Operations in Spatial Databases

    … have attracted much research. Especially, moving object management and continuous spatial queries are becoming highlighted in the spatial database area. However, most of the existing spatial query processing approaches were designed for single-user environments, which may not ensure …

    vt Repository record for Efficient Concurrent Operations in Spatial Databases (opens in a new tab)

  14. Fusion of Frequency and Spatial Domain Information for Motion Analysis

    … The tasks of interest are finding the number of moving objects, velocity estimation, object tracking, and motion segmentation. The proposed hybrid approach performs the motion estimation based on frequency-domain information, but also uses spatial information for precise object localization. …

    uiuc Repository record for Fusion of Frequency and Spatial Domain Information for Motion Analysis (opens in a new tab)

  15. Hidden object doppler : estimating motion, size and material properties of moving non-line-of-sight objects in cluttered environments

    … the environments beyond line of sight. What is moving around the corner interests everyone including a driver taking a turn, a surgeon performing laparoscopy and a soldier entering enemy base. State of the art techniques that do range imaging are limited by (i) inability to handle multiple …

    mit Repository record for Hidden object doppler : estimating motion, size and material properties of moving non-line-of-sight objects in cluttered environments (opens in a new tab)

  16. Digital video moving object segmentation using tensor voting: A non-causal, accurate approach

    … non-causal method to estimate boundaries between moving objects in a video clip. It make use of tensor voting principles. The tensor voting is adapted to allow image structure to manifest in the tangential plane of the saliency map. The technique allows direct estimation of motion vectors from …

    cape-town Repository record for Digital video moving object segmentation using tensor voting: A non-causal, accurate approach (opens in a new tab)

  17. Dynamic tracking with AprilTags for robotic education

    … limits of the usefulness of AprilTags while on moving objects, that is, the highest velocities at which AprilTags can be detected by a low-cost USB camera. The resulting project may be used for a classroom demonstration, which shows how AprilTags may be used as a means of sensing. When …

    mit Repository record for Dynamic tracking with AprilTags for robotic education (opens in a new tab)

  18. Pedestrian detection in low-resolution videos

    … task, since pedestrians are non-rigid objects, ranging over a high variability of poses, appearances, and scales. The detection task typically takes place at scenes with a lot of background clutter which require high classification precision. The task becomes more challenging in aerial …

    colo-mines Repository record for Pedestrian detection in low-resolution videos (opens in a new tab)

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