[opensource] Employment Recruitment Opportunity for Students
cramer.85 at osu.edu
Fri May 20 10:45:00 EDT 2005
We have a unique opportunity for students and researchers to meet with a
GE Employment Recruiter.
Tuesday, May 24th, 5:00, DL 874 (Lounge)
Following his talk at 3:30 in DL 480, Dr. Jens Ritchser would like to
meet with students and researchers who have an interest in pursuing
careers at GE Global Research. Candidates with long term and/or short
term employment interests in GE R&D Centers located in Bangalore, India
and Niskayuna, NY are encouraged to attend the talk and meet with Dr.
Rittscher. Please provide any relevant material (CVs etc.) if you are
interested in a career with GE.
The talk will concern:
Simultaneous Estimation of Segmentation and Shape
Visualization and Computer Vision, GE Global Research, Niskayuna, NY
Room: DL 480
Talk: Tuesday May 24, 2005, 3:30-4:30.
The main focus of this work is the integration of feature grouping and
model based segmentation into one consistent framework. The algorithm
is based on partitioning a given set of image features using a
likelihood function that is parameterized on the shape and location of
potential individuals in the scene. Using a variant of the EM
formulation, maximum likelihood estimates of both the model parameters
and the grouping are obtained simultaneously. The resulting algorithm
performs global optimization and generates accurate results even when
decisions can not be made using local context alone. An important
feature of the algorithm is that the number of people in the scene is
not modeled explicitly. As a result no prior knowledge or assumed
distributions are required. The approach is shown to be robust with
respect to partial occlusion, shadows, clutter, and can operate over a
large range of challenging view angles including those that are parallel
to the ground plane. Comparisons with existing crowd segmentation
systems are made and the utility of coupling crowd segmentation with a
temporal tracking system is demonstrated.
In addition to presenting the mathematical formulation of the algorithm
the talk will illustrate on how the algorithm is used for practical
applications (e.g. people counting). The application of the algorithm
is not limited to video surveillance and it will be shown how more
elaborate shape models can be included into the formulation.
Jens Ritchser is a Senior Researcher in Visualization and Computer
Vision at GE Global Research, Niskayuna, NY. He received his Diploma in
Mathematics from the University of Bonn, and his Doctoral degree in
Electrical Engineering from University of Oxford (under the supervision
of Andrew Blake). He later continued as a post-doctoral researcher at
Oxford under the tutelage of A. Zisserman for a period of three months.
He joined GE Global Research in the year 2001.
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