Vision-based vehicle tracking (ViVet)

• Main Authors: Dang, Mong Tuyet Trinh L., Daquioag, Alvin Paul D., Ramos, Timothy Joseph R., See, Franz Allan V.
• Format: text
• Language: English
• Published: Animo Repository 2006
• Subjects: Automobile driving > Philippines; Vehicles > Philippines; Mobile robots; Computer vision; Traffic safety > Philippines; Computer Sciences
• Online Access: https://animorepository.dlsu.edu.ph/etd_bachelors/14196
• Institution: De La Salle University

The use of computer vision has started to make its way in the field of Traffic surveillance. Through video image processing, valuable traffic data such as vehicle count and density is generated automatically with minimal human intervention. To date, this technology has been adopted by many countries to break away from the manual surveillance system and the problems encountered by the conventional in-pavement loops. However, here in the Philippines, this technology has not yet been adopted. More so, the performance of vehicle tracking approaches when implemented on Philippine roadways is still questionable due to unforeseen localized conditions. In this regard, ViVeT endeavors the implementation of a multiple vehicle tracking system based on Philippine roadways. The study focuses on implementing a system that can track vehicles under roadways subject to varying levels of occlusion, shadow and luminance taking into consideration the localized factors relating to these identified problems. The system mainly consists of a video acquisition and a tracking module. Prior to tracking, a still digital video camera records a video footage of a roadway and converts it to an image sequence. The actual vehicle tracking then starts off with the processing of the image sequence to hypothesize and verify all possible locations of vehicles. With its successful implementation, the study can serve as a platform for traffic surveillance purposes as well as those applications that provide traffic information to motorist and commuters.