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.
| Original language | English |
|---|---|
| Pages (from-to) | 15-19 |
| Number of pages | 5 |
| Journal | Journal of Automation, Mobile Robotics and Intelligent Systems |
| Volume | 8 |
| Issue number | 4 |
| DOIs | |
| Publication status | Published - 31 Dec 2014 |
Keywords
- autonomous objects detection
- smartphone
- mobile application
- video analytics