RFP\/JOB: OpenCV Developer for Facial Recognition of Lions<\/p>\n
This RFP looks for a developer or team that can aid in the creation of a Computer Vision engine<\/p>\n
to identify lion individuals from frontal images.<\/p>\n
Start Date: OCT 1, 2014<\/p>\n
Timeline: 3 months<\/p>\n
ABOUT US:<\/p>\n
The Lion Guardians have been conserving lions and preserving cultures since 2007 with our mission to<\/p>\n
promote sustainable coexistence between people and lions using cultural values, community<\/p>\n
participation and science.<\/p>\n
The Lion Guardians are a conservation organization that promotes the coexistence of people and lions<\/p>\n
across Kenya and Tanzania. We have more than 70 East African team members protecting lions over<\/p>\n
4,500 square kilometers (one million acres) of non-protected critical lion habitat. We have been able to<\/p>\n
reduce lion killing by 99% and have documented a near tripling of the lion population at our core site<\/p>\n
in the greater Amboseli ecosystem.<\/p>\n
PROJECT OVERVIEW:<\/p>\n
The Lion Guardians in conjunction with IEF R&D and partner conservation initiatives are developing a<\/p>\n
lion database\/website and computer vision ID system for east Africa. The goal is to address the<\/p>\n
problems of fractured habitat and the marginalization of “sparsely populated’ wildlife areas. Recent<\/p>\n
studies have shown greater mobility by lions through these areas, linking previously believed disparate<\/p>\n
populations into new population boundaries.<\/p>\n
These studies have been slowed though by a lack of cross pollination between data sets, prohibiting the<\/p>\n
correlation of lion ID’s which encompass an individuals full range. Therefore this initiative aims to<\/p>\n
unify this data with an easy to use application to identify and consolidate lion sightings in east Africa.<\/p>\n
The computer vision component of this project will correlate ID matches from static images (non real<\/p>\n
time) submitted to the database. The main CV engine will be developed using OpenCV (2.4.9) with the<\/p>\n
end goal of code reuse for future community development.<\/p>\n
Developer\/s project goals:<\/p>\n
The developer\/s will be responsible for the code base and algorithms used in the computer vision ID<\/p>\n
engine. The end result being a command line application that will use a reference image to compare for<\/p>\n
matches across a series of selected images. The application will need to contain multiple stages of<\/p>\n
image processing from lighting normalization to feature identification and template matching,with the<\/p>\n
goal ID rate being 75-85% across an averaged data set of \u201con the ground\u201d lion images.<\/p>\n
The project will focus on frontal face images to help with standardization and field collection of the<\/p>\n
images.<\/p>\n
To allow for future development the code base will be structured using a clean, modular approach that<\/p>\n
will allow for future collaboration and development. Incorporating clear structural design and<\/p>\n
commenting of the code in the development process.<\/p>\n
Key Deliverables:<\/p>\n
\u2022 Developing in C\/C++ create an efficient algorithm to processes, normalize and compare an<\/p>\n
image within a field of templates to produce a 75-85% match rate for individual lions.<\/p>\n
\u2022 Develop and maintain the CV engine code base using Git, Github and Doxygen, documenting<\/p>\n
and clearly structuring the code for easy reuse and collaboration.<\/p>\n
\u2022 Communicating with the development team to allow for easy integration into the larger<\/p>\n
website\/database.<\/p>\n
\u2022 Minor visual output for testing, debugging and showcasing purposes of the \u201cmatching\u201d process.<\/p>\n
Most of the work will not require a visual component.<\/p>\n
Skills Set Background:<\/p>\n
\u2022 Strong C\/C++ programming background with development for Linux based systems using the<\/p>\n
GNU tool chain including Make, Cmake, GCC.<\/p>\n
\u2022 Developing C++ applications on remote server, specifically CentOS development.<\/p>\n
\u2022 Community code maintenance using Git and Github and Doxygen.<\/p>\n
\u2022 A strong background in computer vision, OpenCV and facial recognition with a emphasis on<\/p>\n
template matching, common vision algorithms Eigenfaces, Fisherfaces, Laplacianfaces and<\/p>\n
neural networks such as Adaboost.<\/p>\n
\u2022 Ability to design to the specific application and communicate trade offs in time\/complexity to<\/p>\n
functionality.<\/p>\n
\u2022 Good person to work with, experience with lions a plus.<\/p>\n
If interested please contact after Sept 17:<\/p>\n
Justin Downs: Justin@iefrd.com<\/p>\n","protected":false},"excerpt":{"rendered":"
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