SARIVA:Smartphone App for Real-time Intelligent Video Analytics

Clarke, Christopher and Angelov, Plamen and Sadeghi Tehran, Pouria and Yusuf, Majid (2014) SARIVA:Smartphone App for Real-time Intelligent Video Analytics. Journal of Automation, Mobile Robotics and Intelligent Systems, 8 (4). pp. 15-19. ISSN 1897-8649

Full text not available from this repository.

Abstract

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 plaƞorm. 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.

Item Type: Journal Article
Journal or Publication Title: Journal of Automation, Mobile Robotics and Intelligent Systems
Subjects:
Departments: Faculty of Science and Technology > School of Computing & Communications
ID Code: 74538
Deposited By: ep_importer_pure
Deposited On: 08 Jul 2015 08:56
Refereed?: Yes
Published?: Published
Last Modified: 11 Dec 2019 04:04
URI: https://eprints.lancs.ac.uk/id/eprint/74538

Actions (login required)

View Item View Item