This work is focused on recognition of license plates in low resolution and low quality
images. We present a methodology for collection of real world (non-synthetic) dataset of low …

Detection, counting and characterization of bubbles, that is, transparent objects in a liquid, is
important in many industrial applications. These applications include monitoring of pulp …

Object detection in embedded systems is important for many contemporary applications that
involve vision and scene analysis. In this paper, we propose a novel architecture for object …

In this paper, we explore the problem of license plate recognition in-the-wild (in the meaning
of capturing data in unconstrained conditions, taken from arbitrary viewpoints and …

This paper presents a compact intelligent camera with traffic surveillance and enforcement
as a primary application field. The camera's unique features are 1/embedded object …

Modern machine learning based object detection methods have high accuracy; however, at
the same time, they require the increased computing power of processing units. Thus …

Nowadays the object detection research based on machine learning techniques is focused
on improving the accuracy and the detection speed of a given algorithm. However, most of …

In this paper, we propose an FPGA implementation of license plate detection (LPD) in
images captured by arbitrarily placed cameras, vehicle-mounted cameras, or even handheld …

The rapid urbanization and increasing number of vehicles on the roads have stretched
traditional traffic management systems to their limits. Intelligent Transportation Systems (ITS) …

Modern machine learning based object detection methods have high accuracy; however, at
the same time, they require the increased computing power of processing units. Thus …