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Low levels of detection, characteristic of low effort expended on searching and detection of diseased trees, and high detection levels, exemplified by the deployment of large amounts of resources to identify diseased trees, fail to bring the epidemic under control.
The proposed method produces efficient result in sequence searching and detection and improves the hardware utilization which in terms reduces the time complexity as well.
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This paper has addressed the search and detection of moving objects in an image sequence using a moving camera.
This paper presents a system for the search and detection of moving objects in a sequence of images previously captured by a camera installed in a conventional vehicle.
These strategies may optimize prey search and detection with different visual systems in habitat types with different degrees of visual obstruction.
All our findings discussed above are based on data analyses that separated search and detection processes by modeling each experimental trial using multiple predictors (see Fig. 1B).
Here we extend these previous data demonstrating the engagement of these activation/deactivation mechanisms during search and detection in complex naturalistic scenes.
This finding is in line with that in Banks and Prinzmetal (1976), who, although not specifically testing crowding, demonstrated that changes in the flanker configuration affected reaction times in a peripheral search and detection task.
We conclude that bottom-up processing within sensory regions, rather than strategic control in fronto-parietal attention networks, mediates the influence of target-position and binocular-cues during search and detection in 3D real-world scenes.
Then we used repeated-measures ANOVAs to investigate any modulation according to F/B-position and mC/bmC-viewing, separately in the search and detection phase of the trial.
As noted in the method section, this entailed constructing different models to investigate the effects of target-position and viewing-condition during search and detection (Models A and B, cf. Table 2) and comparing trials with different durations across conditions (e.g., shorter search for front- vs. back-targets, see Fig. 1C).
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