Most studies of attentional disengagement in ASD have used less precise eye-tracking measures, for example, electrooculography or video recording.
Given the controversial nature of the exhibition, we wanted to avoid potentially intrusive visitor tracking measures, and we also reasoned that these measures of engagement would be a good proxy for any tracking measures.
However, these preprocessed-detection-based tracking algorithms neglect providing an effective track quality measure for track management, which motivates the authors to consider the probability of target existence as a track quality measure for multitarget tracking from preprocessed detections.
"Our capacity for tracking, measuring and reporting intangible assets is falling way behind where the economy is moving," said Margaret Blair, who recently was co-chairwoman of a Brookings Institution task force on intangible sources of value.
Implementation of fast track (FT) measures for abdominal aortic aneurysm (AAA) open repair (OR) has not been sufficiently evaluated in our area.
The MJIPDA algorithm is developed by incorporating the probability of target existence into the MJPDA algorithm as a track quality measure for track management, and the MJPDA algorithm addresses the target-measurement illuminator association ambiguity via "supertargets" using gate grouping.
In this section, the modified JPDA is enhanced by incorporating the probability of target existence as a track quality measure for track management, which utilizes the probability of target existence to confirm or terminate tracks, and is termed as modified joint integrated probabilistic data association (MJIPDA).
However, both of the exiting algorithms neglect providing an efficient track quality measure for track management.
In this simulation, both the MJIPDA and the SP-JIPDA algorithms calculate the probability of target existence as the track quality measure for track management.
For reasons of fair comparison, the existing modified joint probabilistic data association (MJPDA) algorithm that addresses the 3-D data association problem via "supertargets" using gate grouping and provides tracks directly in 3-D Cartesian coordinates, is enhanced by incorporating the probability of target existence as an effective track quality measure for track management.
Therefore, in order to compare the proposed algorithm (SP-JIPDA) to the exiting algorithms, the MJPDA algorithm is enhanced by incorporating the probability of target existence as a track quality measure for track management, and termed modified joint integrated probabilistic data association (MJIPDA).
