Title

Cocoa - Tracking In Aerial Imagery

Keywords

Aerial Imagery; Detection; Tracking; UAV

Abstract

Unmanned Aerial Vehicles (UAVs) are becoming a core intelligence asset for reconnaissance, surveillance and target tracking in urban and battlefield settings. In order to achieve the goal of automated tracking of objects in UAV videos we have developed a system called COCOA. It processes the video stream through number of stages. At first stage platform motion compensation is performed. Moving object detection is performed to detect the regions of interest from which object contours are extracted by performing a level set based segmentation. Finally blob based tracking is performed for each detected object. Global tracks are generated which are used for higher level processing. COCOA is customizable to different sensor resolutions and is capable of tracking targets as small as 100 pixels. It works seamlessly for both visible and thermal imaging modes. The system is implemented in Matlab and works in a batch mode.

Publication Date

8-29-2006

Publication Title

Proceedings of SPIE - The International Society for Optical Engineering

Volume

6209

Number of Pages

-

Document Type

Article; Proceedings Paper

Personal Identifier

scopus

DOI Link

https://doi.org/10.1117/12.667266

Socpus ID

33747691635 (Scopus)

Source API URL

https://api.elsevier.com/content/abstract/scopus_id/33747691635

This document is currently not available here.

Share

COinS