Global ETD Search

Search theses and dissertations gathered from participating repositories worldwide. Every result links back to the library that holds it. No account is needed.

Results

Showing 1 to 4 of 4 for “"Computer Vision Tracking"”.

  1. Computer Vision Tracking of sUAS From a Pan/Tilt Platform

    … in this area falls under the broader category of computer vision. Only in recent decades, with advances in computing power and commercial optical hardware, has this capability become a possibility. There are many different methods of identifying and tracking objects of interest, and best practices …

    vt Repository record for Computer Vision Tracking of sUAS From a Pan/Tilt Platform (opens in a new tab)

  2. Tracking and Measuring Objects in Obscure Image Scenarios Through the Lens of Shot Put in Track and Field

    Object tracking and object measurement are two well-established and prominent concepts within the field of computer vision. While the two techniques are fairly robust in images and videos where the object of interest(s) is clear, there is a significant decrease in performance when objects appear …

    vt Repository record for Tracking and Measuring Objects in Obscure Image Scenarios Through the Lens of Shot Put in Track and Field (opens in a new tab)

  3. Vision-Based Construction Worker Task Productivity Monitoring

    … and returns their 4D trajectories. Such type of tracking requires that workers are matched under a unique ID not only across successive frames of a single camera (intra tracking) but also across multiple cameras (inter tracking). Existing tag-less studies fail to track construction workers due to …

    cambridge Repository record for Vision-Based Construction Worker Task Productivity Monitoring (opens in a new tab)

  4. Tracking objects and distinguishing their states by watching egocentric videos

    Submission original under an indefinite embargo labeled 'Open Access'. The submission was exported from vireo on 2022-11-11 without embargo terms

    uiuc Repository record for Tracking objects and distinguishing their states by watching egocentric videos (opens in a new tab)