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Classifying Surveillance Events From Attributes And Behaviour pdf

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Figure

Figure 1: Example of vehicle entering and manoeuvring through a car park. This ten-second event generated nearly 200 frames at a frame rate of 20 frames/second.
Figure 2: (a) Scatter plots in the Width-to-Height Ratio versus Normalized Velocity clas-sification space for Person (black) and Vehicle (grey) training data
Table 1: Object Classification Results (Rows refer to the manually derived event classifi-cations, while columns refer to the computed event classifications
Table 2: Classification accuracy as function of number of HMM states.

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