DocumentCode :
181603
Title :
Visualizing driving video in temporal profile
Author :
Kilicarslan, M. ; Jiang Yu Zheng
Author_Institution :
Dept. of Comput. Sci., Indiana Univ.-Purdue Univ. Indianapolis, Indianapolis, IN, USA
fYear :
2014
fDate :
8-11 June 2014
Firstpage :
1263
Lastpage :
1269
Abstract :
Nowadays, many vehicles are equipped with a vehicle borne camera system for monitoring drivers´ behavior, accident investigation, road environment assessment, and vehicle safety design. Huge amount of video data is being recorded daily. Analyzing and interpreting these data in an efficient way has become a non-trivial task. As an index of video for quick browsing, this work maps the video into a temporal image of reduced dimension with as much intrinsic information as possible observed on the road. The perspective projection video is converted to a top-view temporal profile that has precise time, motion, and event information during the vehicle driving. Then, we attempt to interpret dynamic events and environment around the vehicle in such a continuous and compact temporal profile. The reduced dimension of the temporal profile allows us to browse the video intuitively and efficiently.
Keywords :
cameras; data visualisation; driver information systems; human factors; indexing; road accidents; road safety; accident investigation; driver behavior monitoring; driving video visualization; dynamic events; intrinsic information; road environment assessment; temporal image; temporal profile; vehicle borne camera system; vehicle driving; vehicle safety design; video data; video index; Cameras; Dynamics; Roads; Shape; Trajectory; Vehicle dynamics; Vehicles;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Intelligent Vehicles Symposium Proceedings, 2014 IEEE
Conference_Location :
Dearborn, MI
Type :
conf
DOI :
10.1109/IVS.2014.6856420
Filename :
6856420
Link To Document :
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