Visual Sensor Technology for Advanced Surveillance Systems: Historical View, Technological Aspects and Research Activities in Italy

Foresti, Gian Luca; Micheloni, Christian; Piciarelli, Claudio; Snidaro, Lauro

doi:10.3390/s90402252

“…Distributed smart cameras have received increased focus in the research community over the past several years [1][2][3]. In [4] can be found an interesting survey of the main technological aspects of advanced visual-based surveillance systems. In [5], a detailed description of a smart camera, called SmartCam and a distributed video surveillance system can be found.…”

Section: Introductionmentioning

confidence: 99%

Examining the effect of road horizontal alignment on the speed of semi-automated vehicles

García

¹

,

Torregrosa

²

,

Baez

³

2020

Accident Analysis & Prevention

View full text Add to dashboard Cite

This paper introduces a flexible hardware and software architecture for a smart video sensor. This sensor has been applied in a video surveillance application where some of these video sensors are deployed, constituting the sensory nodes of a distributed surveillance system. In this system, a video sensor node processes images locally in order to extract objects of interest, and classify them. The sensor node reports the processing results to other nodes in the cloud (a user or higher level software) in the form of an XML description. The hardware architecture of each sensor node has been developed using two DSP processors and an FPGA that controls, in a flexible way, the interconnection among processors and the image data flow. The developed node software is based on pluggable components and runs on a provided execution run-time. Some basic and application-specific software components have been developed, in particular: acquisition, segmentation, labeling, tracking, classification and feature extraction. Preliminary results demonstrate that the system can achieve up to 7.5 frames per second in the worst case, and the true positive rates in the classification of objects are better than 80%.

show abstract

“…The optical zoom system used for imaging or projection is widely applied to many fields, such as surveillance, medicine, aviation, and aerospace [ 1 , 2 , 3 , 4 , 5 ]. Optical zoom systems used in imaging must satisfy two basic conditions: adjustable focal length and a fixed image plane.…”

Section: Introductionmentioning

confidence: 99%

An Electrically Tunable Zoom System Using Liquid Lenses

Li

¹

,

Cheng

²

,

Hao

³

2015

Sensors

View full text Add to dashboard Cite

A four-group stabilized zoom system using two liquid lenses and two fixed lens groups is proposed. We describe the design principle, realization, and the testing of a 5.06:1 zoom system. The realized effective focal length (EFL) range is 6.93 mm to 35.06 mm, and the field of view (FOV) range is 8° to 40°. The system can zoom fast when liquid lens 1’s (L1’s) optical power take the value from 0.0087 mm−1 to 0.0192 mm−1 and liquid lens 2’s (L2’s) optical power take the value from 0.0185 mm−1 to −0.01 mm−1. Response time of the realized zoom system was less than 2.5 ms, and the settling time was less than 15 ms.The analysis of elements’ parameters and the measurement of lens performance not only verify the design principle further, but also show the zooming process by the use of two liquid lenses. The system is useful for motion carriers e.g., robot, ground vehicle, and unmanned aerial vehicles considering that it is fast, reliable, and miniature.

show abstract

“…In [4] can be found an interesting survey of the main technological aspects of advanced visual-based surveillance systems. In [5], a detailed description of a smart camera, called SmartCam and a distributed video surveillance system can be found.…”

Section: Introductionmentioning

confidence: 99%

Video Sensor Architecture for Surveillance Applications

Sánchez

¹

,

Benet

²

,

Simó

³

2012

Sensors

View full text Add to dashboard Cite

This paper introduces a flexible hardware and software architecture for a smart video sensor. This sensor has been applied in a video surveillance application where some of these video sensors are deployed, constituting the sensory nodes of a distributed surveillance system. In this system, a video sensor node processes images locally in order to extract objects of interest, and classify them. The sensor node reports the processing results to other nodes in the cloud (a user or higher level software) in the form of an XML description. The hardware architecture of each sensor node has been developed using two DSP processors and an FPGA that controls, in a flexible way, the interconnection among processors and the image data flow. The developed node software is based on pluggable components and runs on a provided execution run-time. Some basic and application-specific software components have been developed, in particular: acquisition, segmentation, labeling, tracking, classification and feature extraction. Preliminary results demonstrate that the system can achieve up to 7.5 frames per second in the worst case, and the true positive rates in the classification of objects are better than 80%.

show abstract

Visual Sensor Technology for Advanced Surveillance Systems: Historical View, Technological Aspects and Research Activities in Italy

Cited by 15 publications

References 53 publications

Examining the effect of road horizontal alignment on the speed of semi-automated vehicles

Examining the effect of road horizontal alignment on the speed of semi-automated vehicles

An Electrically Tunable Zoom System Using Liquid Lenses

Video Sensor Architecture for Surveillance Applications

Contact Info

Product

Resources

About