Video-based analysis of traffic surveillance is an active area of research, which has a wide
variety of applications in intelligent transport systems (ITSs). In particular, urban …

The processing of a high-definition video stream in real-time is a challenging task for
embedded systems. However, modern FPGA devices have both a high operating frequency …

FPGA devices are a perfect platform for implementing image processing algorithms. In the
article, an advanced video system is presented, which is able to detect moving objects in …

Automatic vehicle detection in urban traffic surveillance is an important and urgent issue,
since it provides necessary information for further processing. Conventional techniques …

Moving object detection and tracking (MODT) is the major challenging issue in Computer
Vision, which plays a vital role in many applications like robotics, surveillance, navigation …

In many computer vision systems, background subtraction algorithms have a crucial
importance to extract information about moving objects. Although color features have been …

This paper presents the design and implementation of dedicated hardware IP modules for
background subtraction, which are suitable to be implemented in embedded vision systems …

High Level Synthesis for System on Chip is a challenging way to cut off development time,
while assuming a good level of performance. But the HLS tools are limited by the abstraction …

Vehicle detection is a fundamental step in urban traffic surveillance systems, since it
provides necessary information for further processing. Conventional techniques utilize either …

Background subtraction is an important computer vision scheme for segmenting moving
objects from a video. The imminent IoT era imposes severe constraints on camera systems …