Method for detecting a person in a space
First Claim
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1. A method for detecting a person in a space, comprising:
- producing spatial data about the space to be monitored via at least one depth sensor;
using at least one sub-model which is subdividable into further sub-models for at least one selected body part of a human, wherein the at least one sub-model is selected from a hierarchically-structured model data set including different sub-models for the at least one selected body part;
adapting the sub-models using the spatial data, wherein the adaptation is checked by position parameters between the sub-models of different body parts; and
recognizing the person using a complete model made up of checked sub-models.
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Abstract
A method for detecting a person in a space includes at least one depth sensor producing spatial data about the space to be monitored, at least one sub-model, which is sub-dividable into further sub-models being used for at least one selected body part of a human, the spatial data being used to adapt the sub-models, the adaptation being checked by position parameters between the sub-models of different body parts, and the person being recognized using a complete model made up of the checked sub-models.
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Citations
10 Claims
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1. A method for detecting a person in a space, comprising:
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producing spatial data about the space to be monitored via at least one depth sensor; using at least one sub-model which is subdividable into further sub-models for at least one selected body part of a human, wherein the at least one sub-model is selected from a hierarchically-structured model data set including different sub-models for the at least one selected body part; adapting the sub-models using the spatial data, wherein the adaptation is checked by position parameters between the sub-models of different body parts; and recognizing the person using a complete model made up of checked sub-models. - View Dependent Claims (2, 3, 4, 5, 6, 7, 8, 9, 10)
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Specification