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| BF2 Hit Detection Test |
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*****Please read at least this*****
**** Version: v1.4
**** My Ping: ~53
**** target's ping: ~86
NOTES: I did not modify the game in any way
to make this video. No CFGs or alterable
console values or whatever -- NOTHING was
modified.
I was ducking when I shot the sniper rifle,
although the sniper rifle is accurate in all
stances.. proning and ducking barely
increases sniper rifle accuracy at all - only
slightly.
*************************
a friend and I joined an empty server
(someone else's server where we got ~70 ping)
and tested the hit detection for battlefield
2. it's pretty ridiculous.
maybe understanding where you need to aim
will make this game a little less frustrating
for you.
The game displays a small yellow "X" over
your crosshair if you successfully land a hit
on an enemy, but because of the reduced
resolution and the video compression, it's
somewhat hard to see when it does show up in
this video. so i added a Beep sound
indicating that the "X" popped up. if you
want you can view it in fullscreen if you
want to make sure, and see the X's for
yourself.
hope this helps someone..
Tags : battlefield battlefield2 bf bf2 electronic arts dice bad hit detection detect box hitbox lag registry hitreg register |
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Affichage : 146811
Durée : 281 s |
| Michael Shermer Tests the Polygraph and Lie Detection Part 1 |
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Can the polygraph machine really
scientifically measure if someone is lying,
or are all those graphs and numbers just
pseudoscience in the service of law
enforcement? Can we tell if someone is lying
to us by their body language or facial
expressions? Michael Shermer puts both the
polygraph and lie detection to the test in
this dramatic episode that features O.J.'s
jury consultant lie detection expert.
Tags : Shermer Polygraph Lie Detection Lying |
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Affichage : 41240
Durée : 503 s |
| Stationary Features and Cat Detection |
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Google Tech Talks
October 31, 2008
ABSTRACT
Joint work with Donald Geman
Most discriminative techniques for detecting
instances from object categories in still
images consist of looping over a partition of
a pose space with dedicated binary
classifiers. The efficiency of this strategy
for a complex pose, i.e., for fine-grained
descriptions, can be assessed by measuring
the effect of sample size and pose resolution
on accuracy and computation. Two conclusions
emerge: (1) fragmenting the training data,
which is inevitable in dealing with high
in-class variation, severely reduces
accuracy; (2) the computational cost at high
resolution is prohibitive due to visiting a
massive pose partition.
To overcome data-fragmentation we propose a
novel framework centered on pose-indexed
features which assign a response to a pair
consisting of an image and a pose, and are
designed to be stationary: the probability
distribution of the response is always the
same if an object is actually present. Such
features allow for efficient, one-shot
learning of pose-specific classifiers. To
avoid expensive scene processing, we arrange
these classifiers in a hierarchy based on
nested partitions of the pose; as in previous
work on coarse-to-fine search, this allows
for efficient processing.
The hierarchy is then "folded" for training:
all the classifiers at each level are derived
from one base predictor learned from all the
data. The hierarchy is "unfolded" for
testing: parsing a scene amounts to examining
increasingly finer object descriptions only
when there is sufficient evidence for coarser
ones. In this way, the detection results are
equivalent to an exhaustive search at high
resolution. We illustrate these ideas by
detecting and localizing cats in highly
cluttered greyscale scenes.
Speaker: Francois Fleuret
Dr. François Fleuret received the PhD degree
in probability from the University of Paris
VI in 2000 and the Habilitation degree in
applied mathematics from University of Paris
XIII in 2006.
After one year at the Department of Computer
Science, University of Chicago, in 2000, he
was hired as a full researcher at the French
National Institute for Research in Computer
Science and Control (INRIA). In 2004, he
moved to the Computer Vision Laboratory at
EPFL, where he spent three years, before
joining the Idiap Research Institute in 2007
as a Senior Researcher in machine learning.
His main research interests are at the
interface between statistical modeling and
machine learning, with an emphasis on
algorithmic efficiency.
Tags : google techtalks techtalk engedu talk talks googletechtalks education |
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Affichage : 2122
Durée : 2884 s |
| Blob Detection 4 Apes on Tapes |
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/*
* Simple "Glob" Detection && pushing serial
data:
* Deliverables:
* Blobs, X,Y,Z Coordinates, and size. This is
* a modified piece of the jMyron library by
* the NUI group transcribed below:
//be sure to use my modified version of
JMyron.jar
//download it from
nuigroup.com/forums/viewthread/1818/
//and copy it over the original JMyron.jar
file in your processing/libraries folder
*
* This application also uses the integral
* for calculating the area of a polygon
found:
//local.wasp.uwa.edu.au/~pbourke/geometry/pol
yarea/
*
* This code is meant for use at cheLA
December 2008 — March 2009
*
* Thanks to Jeff Burke, Fabian Wagmister, and
Andres Colubri
* For giving me this oppurtunity and also
* for helping me get started.
* Jono Brandel (cc)
* Built with Processing 1.0
*/
inspiration and concept on the blog:
arjenteenuh.com/2008/12/25/basura-en-tapete/
Possible use as a VJ tool for nicecombo.com/
Tags : "apes on tapes" "blob detection" processing.org processing argentina pixels colors chela "computer vision" performance music audio video generative |
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Affichage : 141
Durée : 269 s |
| OpenSpime CO2 detection concept video |
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OpenSpime is a project of WideTag Inc, a
technology infrastructure company providing
hardware and software solutions for an open
Internet of Things.
Our technology enables individuals and
corporations to better understand their
environment, through the use of a series of
GPS-enabled sensors. We provide a set of open
APIs and communication protocols to manage
the data collected.
This video demonstrates the functionality of
a working OpenSpime prototype detection CO2
levels.
Tags : openspime co2 level sensor earth monitoring global warming spime spimeid social hardware open internet things |
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Affichage : 3807
Durée : 222 s |
| Cancer Biology: New Treatments and Early Detection |
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UCSF's Osher Lifelong Learning Institute
presents this series exploring the latest
science about the treatment and managment of
Cancer. Join Frank McCormick, PhD, FRS,
Director of the UCSF Comprehensive Cancer
Center Research Institute for a look at
advances in the treatment and early detection
of cancer. Series: "UCSF Mini Medical School
for the Public" [2/2006] [Health and
Medicine] [Show ID: 11313]
Tags : Cancer UCSF treatment detection science health Osher |
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Affichage : 886
Durée : 3510 s |
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