ADAPTIVE METHODS OF MOVING CAR DETECTION IN MONOCULAR IMAGE SEQUENCES

In this paper, the authors focus on the moving object detection/tracking task on four different data abstraction levels: image segmentation, 2D object tracking, model-based 3D object tracking and multi-object traffic scene description. The concept "adaptive" is examined on two levels: learning algorithms or connectionist systems and recursive estimation for dynamic systems. The first approach can be used for low-and segmentation-level analysis of finite image sequences, while the second approach is useful in 2D and 3D object tracking and estimation.

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