Speed-Adaptive Street View Image Generation Using a Driving Video Recorder

• Main Authors: Devi Eddy, 李彩玲
• Other Authors: Lee, Suh-Yin
• Format: Others
• Language: zh-TW
• Published: 2015
• Online Access: http://ndltd.ncl.edu.tw/handle/98419436950729804024

碩士 === 國立交通大學 === 資訊科學與工程研究所 === 103 === With the rapid development and reduced cost of digital video capturing devices, driving video recorders (DVRs) begin to gain widespread popularity. What happens along the way can thus be recorded in videos. However, searching for a specific scene or event among such massive video collections is laborious and tedious. In this thesis, we propose a speed-adaptive street view image generation system using the general front-mounted DVRs, requiring no additional devices deployed. Visual summaries of the street scenes along the way can also be provided, allowing users to retrieve a video clip corresponding to a specific road section much quickly. A novel approach of an efficient algorithm for estimating the distance a pixel has moved between the consecutive frames is also proposed. A street view image can be generated with an appropriate aspect ratio without demanding a constant driving speed. Experiments on an extensive data set show that the proposed system can efficiently generate street view images under different lighting and weather conditions, demonstrating its feasibility.