Viviana D'alto

Fuzzy logic based image processing in IQTV environment

In this paper, new filtering techniques for TV quality improvement are presented. Fuzzy logic has been used to develop non-linear filters for impulsive and Gaussian noise reduction, scanning rate conversion and detail visibility enhancement. >

Detecting changes at the sensor level in cyber-physical systems: Methodology and technological implementation

Self-adaptive Cyber-Physical Systems (CPSs) enrich CPSs functionalities by introducing self-configuration, self-management, and self-healing skills. Such skills, which are crucial to support adaptation mechanisms, take advantage of the ability to detect changes in the acquired datastreams, e.g., induced by faults affecting sensors/actuators or time-variant environments. In turn, change detection permits CPSs to enable adaptive mechanisms such as reconfiguration of some functionalities to track or mitigate the effect of the change. This paper introduces a novel methodology together with a technological implementation specifically designed for detecting changes affecting the sensor acquisitions in units of CPSs. The methodology requires: 1) learning the signal model; 2) design a model-free change detection test; 3) design a change-point method to validate the detected change. A technological implementation of the proposed methodology encompassing linear predictive models, the ICI-based change detection test and the Mann-Whitney change-point method is introduced and tested on the ST STM32 Nucleo platform. The high detection accuracy altogether with the low computational load and memory occupation make the proposed methodology (and its technological implementation) well suited for self-adaptive CPSs.

Advanced low cost clustering system

This document describes a system to gather information from a stationary camera to identify moving objects. The proposed solution makes only use of motion vectors between adjacent frames, obtained from any algorithm. Starting from them, the system is able to retrieve clusters of moving objects in a scene acquired by an image sensor device. Since all the system is only based on optical flow, it is really simple and fast, to be easily integrated directly in low cost cameras. The experimental results show fast and robust performance of our method. The computation time is about 800 frame/sec for a VGA sequence on a 2.3GHz processor (ARM Cortex-A15). Moreover, the system has been tested for different applications, cross traffic alert and video surveillance, in different conditions, indoor and outdoor, and with different lens, linear and fish-eye.

Innovative ultra low complex, high quality and drift free MPEG-2 transrater controlled by a single pass-very precise variable rate controller

A novel method to change the bit-rate of MPEG-2 video streams is proposed. It is based on an adaptive quantizer and single-pass variable rate controller. It achieves better quality, without being affected by drift degradation. A software low power implementation is proposed on a powerful SLIW DSP//spl mu/P.