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Fast face detection and species classification of African great apes

: Ernst, A.; Küblbeck, C.

Institute of Electrical and Electronics Engineers -IEEE-:
AVSS 2011, IEEE 8th International Conference on Advanced Video and Signal-based Surveillance : 30. August 2011 - 02. September 2011, Klagenfurt University
New York, NY: IEEE, 2011
ISBN: 978-1-4577-0844-2
ISBN: 1-4577-0844-2
ISBN: 978-1-4577-0843-5
ISBN: 978-1-4577-0845-9
International Conference on Advanced Video and Signal-based Surveillance (AVSS) <8, 2011, Klagenfurt>
Conference Paper
Fraunhofer IIS ()

Decline of biodiversity has become a serious problem on a global scale. Therefore environmental groups try to protect the endangered species populations. To this end, autonomous video traps are powerful instruments to monitor population sizes in the wild. These systems are used increasingly, however manually analyzing the huge amount of data gathered by video traps is taking a lot of time. Therefore automatic video analysis systems are in great demand. In this paper we show that technology development for human face detection and analysis can successfully be applied to African graet apes. We discribe the algorithms and demonstrate the performance of the system using the example of chimpanzee and gorilla faces. Moreover we depict two different methods for species classification and compare the capability to distinguish between both species.