The current trend in the evolution of sensor systems seeks ways to provide more accuracy
and resolution, while at the same time decreasing the size and power consumption. The use …

Field Programmable Gate Array (FPGA) is a general purpose programmable logic device
that can be configured by a customer after manufacturing to perform from a simple logic gate …

For an intelligent transportation system, multiple object tracking (MOT) is more challenging
from the traditional static surveillance camera to mobile devices of the Internet of Things …

Dense motion estimations obtained from optical flow techniques play a significant role in
many image processing and computer vision tasks. Remarkable progress has been made in …

Many applications in image processing have high inherent parallelism. FPGAs have shown
very high performance in spite of their low operational frequency by fully extracting the …

Stereo vision is a well-known ranging method because it resembles the basic mechanism of
the human eye. However, the computational complexity and large amount of data access …

This paper deals with dense optical flow estimation from the perspective of the trade-off
between quality of the estimated flow and computational cost which is required by real-world …

Low-level computer vision algorithms have extreme computational requirements. In this
work, we compare two real-time architectures developed using FPGA and GPU devices for …

Overtaking and lane changing are very dangerous driving maneuvers due to possible driver
distraction and blind spots. We propose an aid system based on image processing to help …

We present an implementation of the Speeded Up Robust Features (SURF) on a Field
Programmable Gate Array (FPGA). The SURF algorithm extracts salient points from image …