Classification of animals to determine the migration potential at the construction of new infrastructure

• Autorzy: Matuska S. , Hudec R. , Benco M. , Zachariasova M.
• Języki publikacji: EN

Abstrakty

EN

At the planning and construction of new infrastructures, the information about migration potential of animals in a target area is needed. This information will be used to design of migration corridors for wild animals. To determine the migration potential of animals based on distributed video camera system, new methods for object recognition and classification are developed. In general, an object recognition system consists of three steps, namely, the image feature extraction from the training database, training the classifier and evaluation of query image of object/animal. In this paper, an extraction of local key point by SIFT or SURF descriptors, bags of key points method in combination with SVM classifier and two hybrid key points detection methods are proposed in detail.

Słowa kluczowe

EN

SIFT; SURF descriptor; SVM classifier; animal classification

PL

SIFT; deskryptor SURF; klasyfikator SVM; klasyfikacja zwierząt

• Wydawca: Polskie Stowarzyszenie Telematyki Transportu
• Czasopismo: Archives of Transport System Telematics
• Rocznik: 2013
• Tom: Vol. 6, iss. 4
• Strony: 26--30
• Opis fizyczny: Bibliogr. 14 poz.

Twórcy

autor

Matuska S.

• University of Zilina, Department of Telecommunication and Multimedia, Zilina, Slovakia

autor

Hudec R.

• University of Zilina, Department of Telecommunication and Multimedia, Zilina, Slovakia

autor

Benco M.

• University of Zilina, Department of Telecommunication and Multimedia, Zilina, Slovakia

autor

Zachariasova M.

• University of Zilina, Department of Telecommunication and Multimedia, Zilina, Slovakia

Bibliografia

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