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Dear Colleague,
If you’ve seen the movie Minority
Report, you may remember the scene where Tom Cruise’s character
was scanned and identified by animated advertisements that called out
his name as he walked through a shopping mall. Individually unique
facial recognition and other biometrics technologies aren’t yet at the
point where real life intersects Hollywood’s fantasy depictions of it.
But other facial analysis techniques are already in increasing use, as
described in both a blog
post from the Alliance published earlier this
year and in a recent
Alliance-authored feature article which appeared
in the Society of Information
Display’s bi-monthly journal.
Consider, for example, the value that can be obtained by
advertisers, retailers and consumers alike by an
algorithm running on a vision processor in conjunction with a camera
mounted in a digital display. Gaze tracking can determine, for example,
which promotions are most (and conversely least) popular, by counting
how many people observe them and for how long. Taking facial analysis
to the next level, it’s possible to discern the age
range and gender
of each potential customer, allowing for both logging of this data for
future analysis and real-time customization of the displayed promotion
to the attributes of who’s looking at it at any particular point in
time.
It’s even increasingly feasible to accurately
ascertain a person’s emotional response while viewing an
advertisement; the interest in such data by advertisers and retailers
alike is perhaps obvious. Vision-based
touchless gesture interfaces can transform a passive advertisement
observer into an active participant. And augmented
reality can further draw the consumer into the advertising
experience.
Check out the article, “Practical
Computer Vision Enables Digital Signage with Audience Perception,”
for more information on these and other vision processing-enabled
digital signage opportunities. And while you’re on the Alliance
website, make sure you also check out all the other great new content
published there in recent weeks, such as press releases from Alliance
member companies Aptina (ON Semiconductor), ARM, CEVA, Texas
Instruments, videantis, and Xilinx. Thanks as always for your support
of the Embedded Vision Alliance, and for your interest in and
contributions to embedded vision technologies, products and
applications. Whenever you come up with an idea as to how the Alliance
can better service your needs, you know where to find me.
Brian Dipert
Editor-In-Chief, Embedded Vision Alliance
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“Designing a Multi-Core Architecture
Tailored for Pedestrian Detection Algorithms,” an Embedded Vision
Summit
Technical Presentation from Tom Michiels of Synopsys
Tom Michiels, R&D Manager at
Synopsys, presents the “Designing a Multi-Core Architecture Tailored
for Pedestrian Detection Algorithms” tutorial within the “Algorithms
and Implementations” technical session at the October 2013 Embedded
Vision Summit East. Pedestrian detection is an important function in a
wide range of applications, including automotive safety systems, mobile
applications, and industrial automation. A popular algorithm for
pedestrian detection is HOG (Histogram of Oriented Gradients). Several
variants of the algorithm have been proposed. The complexity and
diversity of these algorithms demands a programmable implementation.
“Introduction to Feature Descriptors in Vision: From Haar to
SIFT,” an
Embedded VIsion Alliance Member Meeting Presentation from Author Scott
Krig
Scott Krig, author of the book “Computer
Vision Metrics: Survey, Taxonomy, and Analysis,” delivers the
presentation “Introduction to Feature Descriptors in Vision: From Haar
to SIFT” at the September 2014 Embedded Vision Alliance Member Meeting.
Also check out Scott’s book, published and available for free on the
Alliance website.
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from OEMs is the use of in-cockpit cameras to monitor the driver and
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