[AG-TECH] AG Meeting "Automatic Object Detection and Recognition from UAV Platforms" Fri 16th 2pm
Martin.Turner at manchester.ac.uk
Sun Oct 11 12:56:41 CDT 2009
*** Apologies for Cross-posting ***
Toby Breckon, Applied Mathematics and Computing Group, School of
Engineering, Cranfield University "Automatic Object Detection and
Recognition from UAV Platforms"
Friday 16th October 2009, 2-3pm Room 1.10, Kilburn Building, The
University of Manchester
Abstract: UAV (Unmanned Aerial Vehicle) platforms are increasingly being
considered for search and surveillance operations both on land and at
sea due to factors such as cost, convenience and reduced risks. However,
the use of UAV sensor platforms in such scenarios has a significant
overhead of the manual analysis of extensive aerial video imagery. Often
this imagery consists of vast areas of barren seascape or farm/dessert
lands with the seldom appearance of objects of interest to the operator.
The manual screening of such imagery is both resource consuming and
subject to human error. This issue scales with the number of such
platforms deployed in any given search or surveillance operation. Here
we discuss recent work in the automatic detection and recognition of
vehicles, people and generic salient objects (e.g. crash wreckage) from
UAV platforms. Work within this area is limited and we discuss the many
challenges of working with UAV imagery and the additional challenges of
experimental work with UAV platforms. Several research results from our
work in this domain are presented including that from the MoD Grand
Challenge 2008 which formed part of the Stellar Team's winning SATURN
Part of http://manchester.siggraph.org/
Anyone wishing to view a discussion via Access Grid should note the
following. Please check the Jabber room shortly before the start of the
seminar to find if ScreenStreamer is to be used.
Virtual Venue: University of Manchester Room1:10
Jabber Room: university-of-manchester-(1.10)
ScreenStreamer: Preferably use ScreenStreamer software - go to
and select room "University of Manchester (1.10)" from the AGSC section.
Grab the screen feed (by clicking on it) from the screenstreamer window
and resize it - more info can be found on
Alternatively, the screenshot (not animated) can be accessed at
http://22.214.171.124:7890 (this IP might change for some sessions -
please check Jabber).
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