Indoor head detection and tracking on RGBD images

• Autorzy: Katarzyna Niżałowska , Łukasz Burdka , Urszula Markowska-Kaczmar
• Języki publikacji: EN

Abstrakty

EN

A real-time human head detection and tracking method for a fall detection system is presented. It utilizes RGBD images to obtain a head position in the three-dimensional space. The proposed method is designed to be insensitive to a body orientation and requires no initial calibration for the tracked person. The evaluation was performed on the basis of annotated videos with realistic non-studio indoor everyday activities and falls. The proposed method outperforms head tracking from the Microsoft Kinect SDK skeleton tracking.(original abstract)

Słowa kluczowe

EN

Image analysis; Image processing; Digital images

PL

Analiza obrazu; Przetwarzanie obrazu; Obrazy cyfrowe

• Czasopismo: Annals of Computer Science and Information Systems
• Rocznik: 2014
• Tom: 2
• Strony: 679--686

Twórcy

autor

Katarzyna Niżałowska

• Wroclaw University of Technology

autor

Łukasz Burdka

• Wroclaw University of Technology

autor

Urszula Markowska-Kaczmar

• Wroclaw University of Technology

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