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Urban Traffic Surveillance (UTS): A fully probabilistic 3D tracking approach based on 2D detections
We quantitatively evaluate UTS using self generated synthetic data and ground truth from the CARLA simulator, due to the non-existence of datasets with an urban vehicle surveillance setting and labeled 3D bounding boxes.
Learning Rank Reduced Interpolation with Principal Component Analysis
When facing situations with only very sparse measurements, typically the number of principal components is further reduced which results in a loss of expressiveness of the basis.
Joint Epipolar Tracking (JET): Simultaneous optimization of epipolar geometry and feature correspondences
In this paper, we propose a sparse direct method which introduces a loss function that allows to simultaneously optimize the unscaled relative pose, as well as the set of feature correspondences directly considering the image intensity values.
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