This paper presents a probability method for detecting people in a static image. We simplify people as a torso and four limbs.
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This paper presents a probability method for detecting people in a static image. We simplify people as a torso and four limbs.
ABSTRACT. This paper presents a probability method for detecting people in a static image. We simplify people as a torso and four limbs.
Two recently-updated methods of estimating p, double- observer sampling and distance-sampling, are better suited to estimating detectability, while two others,.
The Probabilistic Occupancy Map is a procedure which estimates the marginal probabilities of presence of individuals at every location in an area of interest.
In this chapter we introduce basic presence/absence detection models and provide guidelines for designing a detection experiment.
Sep 15, 2014 · Detection probabilities are a statistical method using repeated sampling of the same site combined with hierarchical statistical models to estimate the true ...
When detection probability is moderately high (greater than 0.5) conducting only two or three surveys per unit results in a reasonably efficient design.
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Nov 1, 2010 · This paper presents a probability method for detecting people in a static image. We simplify people as a torso and four limbs.
An estimate of detection probability can then be used to correct counts (C) ... Heterogeneity in detection probabilities among individuals can be a problem.