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Figure 9 shows a screen-grab from a behavioral experiment (top) and a trail video (bottom).
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The processing of the trail videos proceeded in a similar manner.
The gap in precision between the behavioral experiments and the trail videos is somewhat expected, as the trail videos are inherently more difficult to process due to the large number of ants.
Overall, the fully automated algorithm achieves an average precision of 80.3% during behavioral experiments and 55.6% in trail videos, relative to the human-guided analysis process.
On average, the user needed to intervene 5.2 times in the behavioral experiments, while the trail videos required an average of 44.4 interventions.
In general, while the fully automated algorithm guarantees at least 80% precision in 65% of the behavioral experiments and 37% of the trail videos, such relatively low precision levels are likely to confound the analysis.
The trail videos, on the other hand, suffered a significant drop in precision in the absence of human guidance with only 37% of the videos attaining 80% precision, while 55% of the tested videos had a precision of less than 60%. Figure 10 Overlap levels between auto-tracked and corrected trajectories and average number of corrective user interventions.
Watch this ant-trail video, each ant passing by with its own green sail propelling them forward.
N = 43 behavioral experiments, N = 48 trail observation video segments.
Figure 9 Screen-grabs from a behavioral experiment (top) and a trail observation video segment (bottom).
In the trail observation videos, on the other hand, the automatically extracted trajectories are 29% longer, on average, than their user-corrected counterparts.
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