Real Time Vision Based Object Detection from UAV Aerial Images: A Conceptual Framework

A. F M Saifuddin Saif, Anton Satria Prabuwono, Zainal Rasyid Mahayuddin

Research output: Chapter in Book/Report/Conference proceedingConference contribution

3 Citations (Scopus)

Abstract

In computer vision research, one of the capabilities of establishing an autonomous UAV is the detection of rigid and non-rigid object. Moving object detection with moving cameras from UAV aerial images is still an unsolved issue due to clutter and rural background contained in the images, even and uneven illumination changes, static and moving objects and motion of camera. This paper presents a conceptual framework for moving object detection with moving camera from UAV aerial images combined with the frame difference and segmentation approach together. Our focus is the human as rigid and vehicle as non rigid object detection where the camera can be mounted on the vehicle or other movable platform. It is expected that the proposed conceptual framework performs well under different situations for uneven environments.

Original languageEnglish
Title of host publicationCommunications in Computer and Information Science
PublisherSpringer Verlag
Pages265-274
Number of pages10
Volume376 CCIS
ISBN (Print)9783642404085
DOIs
Publication statusPublished - 2013
Event16th FIRA RoboWorld Congress, FIRA 2013 - Kuala Lumpur
Duration: 24 Aug 201329 Aug 2013

Publication series

NameCommunications in Computer and Information Science
Volume376 CCIS
ISSN (Print)18650929

Other

Other16th FIRA RoboWorld Congress, FIRA 2013
CityKuala Lumpur
Period24/8/1329/8/13

Fingerprint

Unmanned aerial vehicles (UAV)
Cameras
Antennas
Computer vision
Lighting
Object detection

Keywords

  • Classifier
  • Feature extraction
  • Human detection
  • Vehicle detection

ASJC Scopus subject areas

  • Computer Science(all)

Cite this

Saif, A. F. M. S., Prabuwono, A. S., & Mahayuddin, Z. R. (2013). Real Time Vision Based Object Detection from UAV Aerial Images: A Conceptual Framework. In Communications in Computer and Information Science (Vol. 376 CCIS, pp. 265-274). (Communications in Computer and Information Science; Vol. 376 CCIS). Springer Verlag. https://doi.org/10.1007/978-3-642-40409-2_23

Real Time Vision Based Object Detection from UAV Aerial Images : A Conceptual Framework. / Saif, A. F M Saifuddin; Prabuwono, Anton Satria; Mahayuddin, Zainal Rasyid.

Communications in Computer and Information Science. Vol. 376 CCIS Springer Verlag, 2013. p. 265-274 (Communications in Computer and Information Science; Vol. 376 CCIS).

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Saif, AFMS, Prabuwono, AS & Mahayuddin, ZR 2013, Real Time Vision Based Object Detection from UAV Aerial Images: A Conceptual Framework. in Communications in Computer and Information Science. vol. 376 CCIS, Communications in Computer and Information Science, vol. 376 CCIS, Springer Verlag, pp. 265-274, 16th FIRA RoboWorld Congress, FIRA 2013, Kuala Lumpur, 24/8/13. https://doi.org/10.1007/978-3-642-40409-2_23
Saif AFMS, Prabuwono AS, Mahayuddin ZR. Real Time Vision Based Object Detection from UAV Aerial Images: A Conceptual Framework. In Communications in Computer and Information Science. Vol. 376 CCIS. Springer Verlag. 2013. p. 265-274. (Communications in Computer and Information Science). https://doi.org/10.1007/978-3-642-40409-2_23
Saif, A. F M Saifuddin ; Prabuwono, Anton Satria ; Mahayuddin, Zainal Rasyid. / Real Time Vision Based Object Detection from UAV Aerial Images : A Conceptual Framework. Communications in Computer and Information Science. Vol. 376 CCIS Springer Verlag, 2013. pp. 265-274 (Communications in Computer and Information Science).
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