24 September 2001 Novel algorithm of road vehicles detection
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Proceedings Volume 4554, Object Detection, Classification, and Tracking Technologies; (2001); doi: 10.1117/12.441621
Event: Multispectral Image Processing and Pattern Recognition, 2001, Wuhan, China
Abstract
This paper presents a vision-based traffic scenes analysis system. We have developed a feature-based tracking approach of vehicle tracking. This important task is to group features that come from the same vehicle. The motion of features is detected by straight lines matching and motion vectors are reprojected to road to get reprojected velocities. According to the vehicle model, the vehicle height is presumed to estimate other features' height. Then the vehicle structure can be rebuilt by the relationship of feature's height and reprojected velocity. The rebuilt vehicle structure is verified by 3D model rules.
© (2001) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Guangyao Liu, Xiuqing Ye, Weikang Gu, "Novel algorithm of road vehicles detection", Proc. SPIE 4554, Object Detection, Classification, and Tracking Technologies, (24 September 2001); doi: 10.1117/12.441621; https://doi.org/10.1117/12.441621
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KEYWORDS
3D modeling

Roads

Visual process modeling

Motion models

Detection and tracking algorithms

Motion detection

Cameras

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