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Detection and tracking of Mmoving objects using stereo vision cameras

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Figure

Figure 1.1: Two-dimensional joint Gaussian Bayesian inference example.
Figure 1.2: Bayesian network for SLAM. Shaded nodes indicating observed states and non- non-shaded nodes indicating hidden states
Figure 1.3: Bayesian network for DATMO. s k indicates a discretely distributed random vari- vari-able and denotes the motion model of a moving object, which governs the evolution of its states.
Figure 2.2: X C Z C -plane of camera projection model. p 0 is located in the image plane, denoted by the pink bar.
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