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Full-Text Articles in Engineering
Visual Clutter Study For Pedestrian Using Large Scale Naturalistic Driving Data, Kai Yang
Visual Clutter Study For Pedestrian Using Large Scale Naturalistic Driving Data, Kai Yang
Open Access Dissertations
Some of the pedestrian crashes are due to driver’s late or difficult perception of pedestrian’s appearance. Recognition of pedestrians during driving is a complex cognitive activity. Visual clutter analysis can be used to study the factors that affect human visual search efficiency and help design advanced driver assistant system for better decision making and user experience. In this thesis, we propose the pedestrian perception evaluation model which can quantitatively analyze the pedestrian perception difficulty using naturalistic driving data. An efficient detection framework was developed to locate pedestrians within large scale naturalistic driving data. Visual clutter analysis was used to study …
Coffee Queue Project, George Dimitrov Gargov
Coffee Queue Project, George Dimitrov Gargov
Master's Theses
In this paper, a computer vision system for counting people standing in line is presented. In this application, common techniques such as Adaptive Background Subtraction (ABS), blob tracking with Kalman filter, and occlusion resistive techniques are used to detect and track people. Additionally, a novel method using Dual Adaptive Background Subtractors (DABS) is implemented for dynamically determining the line region in a real-world crowded scene, and also as an alternative target acquisition to regular ABS. The DABS technique acts as a temporal bandpass filter for motion, helping identify people standing in line while in the presence of other moving people. …
Machine Learning Through Mimicry And Association, Nickolas S. Holcomb
Machine Learning Through Mimicry And Association, Nickolas S. Holcomb
Honors College Theses
Adaptability is a key missing features that has impeded the growth of assistive robotics. In the traditional model, all actions must be explicitly coded by a skilled programmer familiar with the hardware. This project explores a method of teaching a webcam equipped arm type robot new primitive movement using visual demonstrations.