Pedestrian Detection and Tracking in Urban Context Using a Mono-camera
Name
Asmar Hasanova
Abstract
Pedestrian detection and tracking are one of the important aspects in Advanced Driver Assistance Systems. These systems help to avoid dangerous situations, by guiding drivers and warning them about the upcoming risks. The main ideas of pedestrian detection and tracking are to detect pedestrians, while they are in the secure zone, and predict their position and direction.
The goal of this thesis is to examine possible methods and based on these, to develop a good pedestrian detection and tracking algorithm.
The solution developed in this thesis, focuses on accurately detecting and tracking a pedestrian. In order to estimate the accuracy of the system, obtained results will be compared to the existing solutions.
The goal of this thesis is to examine possible methods and based on these, to develop a good pedestrian detection and tracking algorithm.
The solution developed in this thesis, focuses on accurately detecting and tracking a pedestrian. In order to estimate the accuracy of the system, obtained results will be compared to the existing solutions.
Graduation Thesis language
English
Graduation Thesis type
Master - Computer Science
Supervisor(s)
Amnir Hadachi
Defence year
2017