IMPROVED MULTI-CAMERA SMART TRAC SURVEILLANCE SYSTEM FOR RESILIENT CITIES

Q: How can I download an article?

To download an article from SID, first log in to the site, search for the article title, and click on the 'Download Article' option.

Q: How can I download an ISI article?

To download an ISI article on SID, enter the keyword or article title in the search bar, view the relevant results, click on the desired article, and select the 'Download Article' option.

Q: How can I access the SID database?

To access the SID database, visit SID.ir, create an account, and log in to access scientific resources.

Q: Is downloading articles from SID free?

Some articles on SID are available for free, while others require payment. Details are specified on the article's page.

KAVEHVASH Z.

مرکز اطلاعات علمی Scientific Information Database (SID) - Trusted Source for Research and Academic Resources

Journal Paper

Paper Information

Journal: Scientia Iranica Year:2016 | Volume:23 | Issue:4 (TRANSACTIONS A: CIVIL ENGINEERING) Page(s): 1641-1647

Download Full-Text

View:

Download:

Cites:

Information Journal Paper

Title

IMPROVED MULTI-CAMERA SMART TRAC SURVEILLANCE SYSTEM FOR RESILIENT CITIES

Author(s)

KAVEHVASH Z. | Issue Writer Certificate

Keywords

SMART TRAFFIC SURVEILLANCE SYSTEM

MULTI-CAMERA IMAGING

THREE-DIMENSIONAL IMAGING

IMAGE PROCESSING

GEOMETRICAL OPTICS

Abstract

In this paper, intelligent traffic surveillance system as an important part of a smart resilient city is reviewed. The smart traffic control system is very important in improving the life style by decreasing the traffic saturation and air pollution. Still, multi-camera vision is more helpful in implementing different automatic traffic surveillance systems. Apart from their superior features, existing multi-camera surveillance systems suffer from computational complexity and degraded accuracy. The main reason for these shortcomings arises from IMAGE PROCESSING errors. These errors depend on the image content and thus are not predictable. To overcome this shortage, three-dimensional (3D) optical techniques for improved fusing the multi-camera images and thus extracting 3D vehicle locations is proposed in this paper. In fact the proposed multi-camera visionary system is a combination of IMAGE PROCESSING based and GEOMETRICAL OPTICS based methods. The result of 3D image reconstruction through the proposed technique shows its dominance in providing the 3D image information.

Cites

No record.

References

No record.

Cite

APA: Copy

KAVEHVASH, Z.. (). . , (), -. SID. https://sid.ir/paper/290444/en

Vancouver: Copy

KAVEHVASH Z.. . [Internet]. ;():-. Available from: https://sid.ir/paper/290444/en

IEEE: Copy

Z. KAVEHVASH, “,” , vol. , no. , pp. –, , [Online]. Available: https://sid.ir/paper/290444/en

Related Journal Papers