The accuracy of action recognition in surveillance systems is shown in Table 1.
This, in effect, simulated perfect human action prediction and allowed us to focus on measuring the effects of the motion adaptation independent of the accuracy of action prediction.
The evaluations are based on the error analysis of tracked 3D positions of full body joints, the 3D rotation angles at body joints used as a feature for motion classification, and the effect of the accuracy on action recognition.
To evaluate the impact of motion tracking accuracy on action recognition, this paper adopts the action detection framework presented in our previous work (Han et al. 2013).
The battle system is similar to its predecessor's, with the effectiveness of an attack dependent on the timing accuracy of separate actions.
In this control experiment, participants performed the same speeded Go/Nogo task, but were additionally asked to rate every now and then how certain they were about the accuracy of their actions, providing a more fine-grained behavioural estimate of experienced errors, relative to a dichotomous classification between errors vs. hits, and aware vs. unaware errors.
There were four main aspects evaluated – the activity, the speed of reaction, accuracy of the action and awareness of safety risks.
For both STIP and iDT features, it is clear to see that additional usage of textural features helps to improve the accuracy of certain action classes such as walking" and "jogging" by more than ≈ 20 40%.
In other words, the overall intention can influence the degree of accuracy of each action of a sequence.
In most cases, the more rules being applied to an FLC, the accuracy of the control action is enhanced.
The robustness determines the reliability of the system which can be represented by the accuracy of the query action detection before false detections begin to occur whereas the discriminability is concerned with its ability to reject irrelevant actions such that false detections do not occur.
