SARIVA : Smartphone APP for Real-time Intelligent Video Analytics

• Autorzy: Clarke C. , Angelov P. , Yusufu M. , Sadeghi-Tehran P.

Identyfikatory

DOI

10.14313/JAMRIS_4-2014/32

• Języki publikacji: EN

Abstrakty

EN

This paper presents the design, implementation and evaluation of a new smartphone application that is capable of real-time object detection using both stationary and moving cameras for embedded systems, particularly, the Android smartphone platform. A new object detection approach, Optical ORB, is presented which is capable of real-time performance at high definition resolutions on a smartphone. In addition, the developed smartphone application has the ability to connect to a remote server and wirelessly send image frames when moving objects appear in the camera’s field of view; thus, allowing the human operator to only view video frames that are of interest. Evaluation experiments show a capability of achieving real-time performance for high definition (HD) resolution video.

Słowa kluczowe

EN

autonomous objects detection; smartphone; mobile application; video analytics

• Wydawca: Łukasiewicz Industrial Research Institute for Automation and Measurements PIAP
• Czasopismo: Journal of Automation Mobile Robotics and Intelligent Systems
• Rocznik: 2014
• Tom: Vol. 8, No. 4
• Strony: 15--19
• Opis fizyczny: Bibliogr. 18 poz., rys.

Twórcy

autor

Clarke C.

• Intelligent Systems Lab, Data Science Group, Lancaster University, UK, LA1 4WA

autor

Angelov P.

• Intelligent Systems Lab, Data Science Group, Lancaster University, UK, LA1 4WA

autor

Yusufu M.

• Intelligent Systems Lab, Data Science Group, Lancaster University, UK, LA1 4WA

autor

Sadeghi-Tehran P.

• Intelligent Systems Lab, Data Science Group, Lancaster University, UK, LA1 4WA

Bibliografia

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