Vision-Based Intelligent System for Traffic Analysis (VISTA)

Date of Publication


Document Type

Bachelor's Thesis

Degree Name

Bachelor of Science in Computer Science


College of Computer Studies


Computer Science

Thesis Adviser

Clement Y. Ong


Problems with existing traffic surveillance and detection systems have led researchers to venture into the use of computer vision technology in traffic analysis. In order to be implemented in the Philippines, however, additional parameters need to be considered such as various modes of transportation (i.e. bicycles, pedicabs, calesas), and some non-vehicle contributions to traffic, which include processions and rallies. In light of this, VISTA endeavors to implement a multiple vehicle tracking and traffic analysis system based on Philippine roadways.

The study focuses on implementing a data acquisition system necessary for traffic analysis. The input of the system is an image sequence. Each image is then processed to identify entities on the road that contribute to traffic. Once these entities are identified, traffic density and traffic flow are then computed based on the image sequence. The output of the system can be used as the necessary traffic parameters for traffic management and information systems.

The system is capable of detecting global brightness drops which are treated as shadows. The system can process at 3.22 frames per second for background modeling, and at 2.47 frames per second for result generation. Traffic density and traffic flow are directly influenced by the accuracy of the detection scheme. The accuracy of detection is 68.75% and is heavily dependent on how the system is calibrated.

Abstract Format






Accession Number


Shelf Location

Archives, The Learning Commons, 12F, Henry Sy Sr. Hall

Physical Description

1 v. (various foliations) : ill. ; 28 cm.


Traffic engineering; Traffic flow--Computer simulation; Computer vision

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