Moving Object Detection and Segmentation for Remote Aerial Video Surveillance

By: Material type: ArticleArticleLanguage: English Publication details: KIT Scientific Publishing 2014Description: 1 electronic resource (XI, 215 p. p.)ISBN:
  • KSP/1000044922
  • 9783731503200
Subject(s): Online resources: Summary: Unmanned Aerial Vehicles (UAVs) equipped with video cameras are a flexible support to ensure civil and military safety and security. In this thesis, a video processing chain is presented for moving object detection in aerial video surveillance. A Track-Before-Detect (TBD) algorithm is applied to detect motion that is independent of the camera motion. Novel robust and fast object detection and segmentation approaches improve the baseline TBD and outperform current state-of-the-art methods.
Item type:
Tags from this library: No tags from this library for this title. Log in to add tags.
Star ratings
    Average rating: 0.0 (0 votes)
No physical items for this record

Open Access star Unrestricted online access

Unmanned Aerial Vehicles (UAVs) equipped with video cameras are a flexible support to ensure civil and military safety and security. In this thesis, a video processing chain is presented for moving object detection in aerial video surveillance. A Track-Before-Detect (TBD) algorithm is applied to detect motion that is independent of the camera motion. Novel robust and fast object detection and segmentation approaches improve the baseline TBD and outperform current state-of-the-art methods.

Creative Commons https://creativecommons.org/licenses/by-sa/4.0/ cc https://creativecommons.org/licenses/by-sa/4.0/

English

There are no comments on this title.

to post a comment.
Share