Image Processing Reference

In-Depth Information

(4)

where SC is status changing, TU is tool using, CU is container using, FU is food using, Hd is

hand, and Hm is Human.

FIGURE 2
The second Bayesian network in our method.

The last BN represents the possibility of an action based on motion features of sequence of

images surround the current frame.

(5)

where MF is motion feature.

The probability of the
i
ith action class calculated by the first BN is called
P
NEXT
(
A
i
), by the

second BN is called
P
IMAGE
(
A
i
), and by the last one is called
P
MOTION
(
A
i
). We can compute the

probability of an action label based on
P
NEXT
and
P
IMAGE
only by multiply probabilities, or
P
NEXT

and
P
MOTION
. After that, we combine these probability values to obtain the probability of the
i
th

action

(6)

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