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Open AccessArticle

Front-Vehicle Detection in Video Images Based on Temporal and Spatial Characteristics

by 1, 2, 2 and 1,*
1
State Key Laboratory of Information Engineering in Surveying, Mapping, and Remote Sensing, Wuhan University, Wuhan 430079, China
2
School of Electronic Information and Communication, Huazhong University of Science and Technology, Wuhan 430074, China
*
Author to whom correspondence should be addressed.
Sensors 2019, 19(7), 1728; https://doi.org/10.3390/s19071728
Received: 7 March 2019 / Revised: 4 April 2019 / Accepted: 9 April 2019 / Published: 11 April 2019
(This article belongs to the Section Remote Sensors)
Assisted driving and unmanned driving have been areas of focus for both industry and academia. Front-vehicle detection technology, a key component of both types of driving, has also attracted great interest from researchers. In this paper, to achieve front-vehicle detection in unmanned or assisted driving, a vision-based, efficient, and fast front-vehicle detection method based on the spatial and temporal characteristics of the front vehicle is proposed. First, a method to extract the motion vector of the front vehicle is put forward based on Oriented FAST and Rotated BRIEF (ORB) and the spatial position constraint. Then, by analyzing the differences between the motion vectors of the vehicle and those of the background, feature points of the vehicle are extracted. Finally, a feature-point clustering method based on a combination of temporal and spatial characteristics are applied to realize front-vehicle detection. The effectiveness of the proposed algorithm is verified using a large number of videos. View Full-Text
Keywords: motion vector; vanishing point; clustering; front-vehicle detection motion vector; vanishing point; clustering; front-vehicle detection
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MDPI and ACS Style

Yang, B.; Zhang, S.; Tian, Y.; Li, B. Front-Vehicle Detection in Video Images Based on Temporal and Spatial Characteristics. Sensors 2019, 19, 1728. https://doi.org/10.3390/s19071728

AMA Style

Yang B, Zhang S, Tian Y, Li B. Front-Vehicle Detection in Video Images Based on Temporal and Spatial Characteristics. Sensors. 2019; 19(7):1728. https://doi.org/10.3390/s19071728

Chicago/Turabian Style

Yang, Bo; Zhang, Sheng; Tian, Yan; Li, Bijun. 2019. "Front-Vehicle Detection in Video Images Based on Temporal and Spatial Characteristics" Sensors 19, no. 7: 1728. https://doi.org/10.3390/s19071728

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