Abstract
One of the drawbacks of currently available smart camera
solutions is the gap in comfort and power between software
development on the PC and on the embedded system
side. This paper describes efforts of bringing high level
computer vision software from PCs to the constrained environments
of smart cameras. We show that software development
with Intel´s Open Source Library OpenCV on smart
cameras is feasable and nearly as comfortable as on the
PC side, and that processing speeds are sufficiently high
for real-time processing. We elaborate on porting efforts of
the well known KLT tracking algorithm to a VC4465 smart
camera. In addition, we compare the differences in acurracy
between the fixed point code and the floating point
code of the KLT implementation. Finally, by describing a
complex pedestrian tracking algorithm which is suited for
crowded scenes, we highlight the practical challenges of
running high level vision software on a device with limited
computing resources.
| Original language | English |
|---|---|
| Title of host publication | IEEE 12th International Conference on Computer Vision Workshops, ICCV Workshops |
| DOIs | |
| Publication status | Published - 2009 |
| Event | IEEE 12th International Conference on Computer Vision Workshops (ICCV Workshops) - Duration: 3 Oct 2009 → … |
Conference
| Conference | IEEE 12th International Conference on Computer Vision Workshops (ICCV Workshops) |
|---|---|
| Period | 3/10/09 → … |
Research Field
- Former Research Field - Mobility Systems