2004Tv EngineeringRequires access

Design of Traffic Surveillance System Using Video Analysis Based on DSP

Zhaoxuan Yang

Open publisher page 0 citations

Abstract

This paper presents the design of a traffic surveillance system based on DSP, which collects video signals of road in real time and computer traffic information by means of video analysis. This paper explains particularly the hardware structure and the software design scheme, and introduces the principle of information detection program.

About this research paper

What this paper is about

This paper presents the design of a traffic surveillance system based on DSP, which collects video signals of road in real time and computer traffic information by means of video analysis. This paper explains particularly the hardware structure and the software design scheme, and introduces the principle of information detection program.

Why it matters

A significance statement is not available in the OpenAlex record.

Key contribution

A contribution statement is not available in the OpenAlex record.

Method / approach

Method details are not available in the OpenAlex metadata.

Main findings

Findings are not separately available in the OpenAlex metadata.

Limitations

Limitations are not available in the OpenAlex metadata.

Applications

Application details are not available in the OpenAlex metadata.

Available abstract

This paper presents the design of a traffic surveillance system based on DSP, which collects video signals of road in real time and computer traffic information by means of video analysis. This paper explains particularly the hardware structure and the software design scheme, and introduces the principle of information detection program.

Key concepts: Computer science, Digital signal processing, Scheme (mathematics), Software, Real-time computing, Traffic analysis, Embedded system, Software design

Related papers

Back to paper searchBrowse research topicsOriginal source
Design of Traffic Surveillance System Using Video Analysis Based on DSP — Research Paper | ScholarLens