Graduation Year
2016
Document Type
Thesis
Degree
M.S.C.S.
Degree Name
MS in Computer Science (M.S.C.S.)
Degree Granting Department
Computer Science and Engineering
Major Professor
Rangachar Kasturi, Ph.D.
Committee Member
Pei-Sung Lin, Ph.D.
Committee Member
Srinivas Katkoori, Ph.D.
Keywords
Image deblurring, Edge enhancement, Contrast enhancement
Abstract
Pedestrian detection is one of the most researched areas in computer vision and is rapidly gaining importance with the emergence of autonomous vehicles and steering assistance technology. Much work has been done in this field, ranging from the collection of extensive datasets to benchmarking of new technologies, but all the research depends on high-quality hardware such as high-resolution cameras, Light Detection and Ranging (LIDAR) and radar.
For detection in low-quality moving camera videos, we use image deblurring techniques to reconstruct image frames and use existing pedestrian detection algorithms and compare our results with the leading research done in this area.
Scholar Commons Citation
Hinduja, Saurabh, "Pedestrian Detection in Low Quality Moving Camera Videos" (2016). USF Tampa Graduate Theses and Dissertations.
https://digitalcommons.usf.edu/etd/6514
