Changeset 268 for anr

Timestamp:

Feb 20, 2010, 8:30:17 AM (15 years ago)

Author:

coach

Message:

IA: thales updates

Location:

anr

Files:

• lettres/abound.pdf (added)
• section-5.tex (modified) (1 diff)
• section-7.tex (modified) (1 diff)
• task-6.tex (modified) (1 diff)

anr/section-5.tex

@@ -137 +137 @@
 \letterOfInterest{ALSIM Simulateur}{lettres/Alsim.pdf},
 \letterOfInterest{SILICOMP-AQL}{lettres/itlabs.pdf},
+\letterOfInterest{ABOUND Logic}{lettres/abound.pdf},
 \letterOfInterest{EADS-ASTRIUM}{lettres/Astrium1.pdf}.
 \letterOfInterestPlus{lettres/Astrium2.pdf}

anr/section-7.tex

@@ -215 +215 @@
 \item[Equipment]
     In order to validate the design flow,TRT will buy FPGA developpement boards. The cost
-    for these FPGA boards is estimated to 20 k\euro (6\% of the total ANR funding).
+    for these FPGA boards is estimated to 10 k\euro (6\% of the total ANR funding).
 \item[Personnel costs]
     The effort to adapt SPEAR DE to generate the input files to COACH framework is

anr/task-6.tex

@@ -31 +31 @@
     \end{livrable}
 
-  \subtask In this sub-task, \TRT will specify and develop the
-    high level code of an application in the domain of surveillance of critical
-    infrastructures.
-    The objective is to detect and classify the presence of humans in the restricted area.
-    The algorithm we will use is based on the work of Viola and Jones\cite{thales-viola}.
-    It implements in particular a cascade of classifiers operating on Haar like features,
-    where simple weak classifiers at the beginning of the cascade reject a majority of
-    void sub-windows, before more complex classifiers concentrate on potential regions of
-    interest.
-    This application is computation intensive and also makes an intensive use of binary
-    decision trees to cascade the filters, which makes it a good candidate to assess the
-    association of CAL with parallelizing tools.\\
+  \subtask
+    The objective of this sub-task is to specify the THALES application and to develop the
+    high level code.  This application is in the domain of surveillance of critical
+    infrastructures. The objective is to detect and classify the presence of humans in the
+    restricted area. The algorithm is based on the work of Viola and
+    Jones~\cite{thales-viola}. It implements in particular a cascade of classifiers
+    operating on Haar like features, where simple weak classifiers at the beginning of the
+    cascade reject a majority of void sub-windows, before more complex classifiers
+    concentrate on potential regions of interest. This application is computation
+    intensive and also makes an intensive use of binary decision trees to cascade the
+    filters, which makes it a good candidate to assess the COACH platform.
+    \\
     Moreover, the higher levels of computing can involve tracking and data fusion between
     several camera streams and some other informations.