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Vehicle Detection and Motion Analysis in Low-Altitude Airborne Video Under Urban Environment

Vehicle Detection and Motion Analysis in Low-Altitude Airborne Video Under Urban Environment,10.1109/TCSVT.2011.2162274,IEEE Transactions on Circuits

Vehicle Detection and Motion Analysis in Low-Altitude Airborne Video Under Urban Environment   (Citations: 1)
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Visual surveillance from low-altitude airborne plat- forms plays a key role in urban traffic surveillance. Moving vehicle detection and motion analysis are very important for such a system. However, illumination variance, scene complexity, and platform motion make the tasks very challenging. In addition, the used algorithms have to be computationally efficient in order to be used on a real-time platform. To deal with these problems, a new framework for vehicle detection and motion analysis from low-altitude airborne videos is proposed. Our paper has two major contributions. First, to speed up feature extraction and to retain additional global features in different scales for higher classification accuracy, a boosting light and pyramid sampling histogram of oriented gradients feature extraction method is proposed. Second, to efficiently correlate vehicles across different frames for vehicle motion trajectories computation, a spatio- temporal appearance-related similarity measure is proposed. Compared to other representative existing methods, our experi- mental results showed that the proposed method is able to achieve better performance with higher detection rate, lower false positive rate, and faster detection speed.
Journal: IEEE Transactions on Circuits and Systems for Video Technology - TCSV , vol. 21, no. 10, pp. 1522-1533, 2011
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    • ...However, the design of VTS for airborne platforms is a challenging problem, due to the following reasons [3][4]: (1) the motion of the platform with camera is unconstrained, so frame-to-frame jitter in the airborne videos is visible; (2) the movement of interested vehicles is variable and the relevance of them is not obvious; (3) As the large the coverage area of the tracking system, there are a great number of vehicles in each frame, ...

    Xianbin Caoet al. Collaborative Kalman filters for vehicle tracking

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