METHOD FOR CLASSIFYING HUMAN MOBILITY STATE USING PARTICLE FILTER
First Claim
1. A method of determining a mobility state of a specific target by using a particle filter having N particles defined as N independent random variables, the method comprising:
- calculating a current speed of the specific target, and calculating a value relating to a cumulative probability at which the specific target has the current speed;
repeating a particle update process of updating values of the N particles by a predetermined number of times; and
after the repeating, calculating an average value of the updated N particles, and determining a mobility state of the specific target based on the average value,wherein a weight used for updating the value of the N particles is calculated by using the cumulative probability.
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Abstract
Provided is a method of determining a mobility state of a specific target. The method of determining a mobility state of a specific target by using a particle filter having particles defined as N independent random variables, the method comprising: calculating a current speed of the specific target, and calculating a value relating to a cumulative probability at which the specific target has the current speed, repeating a particle update process of updating a value of each particle by a number of times according to a predetermined rule, and calculating an average value of values that the N particles updated have, and determining a mobility state of the specific target based on the average value, wherein a weigh is calculated to use for updating the value of the particle by using the cumulative probability.
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Citations
12 Claims
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1. A method of determining a mobility state of a specific target by using a particle filter having N particles defined as N independent random variables, the method comprising:
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calculating a current speed of the specific target, and calculating a value relating to a cumulative probability at which the specific target has the current speed; repeating a particle update process of updating values of the N particles by a predetermined number of times; and after the repeating, calculating an average value of the updated N particles, and determining a mobility state of the specific target based on the average value, wherein a weight used for updating the value of the N particles is calculated by using the cumulative probability. - View Dependent Claims (2, 3, 4, 5)
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6. A mobility state determination method comprising:
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initializing a particle filter that has, as particles, N independent random variables having a value of 0 to 1; repeating a particle update process by a predetermined number of time; and after repeating, calculating an average value of updated N particles, and determining a mobility state of the specific target by using the average value; wherein a current speed of the specific target at a first time point is used as a new observation value for inputting to the particle filter. - View Dependent Claims (7, 8, 9, 10, 11)
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12. A mobility state determination device comprising a processing unit that determines a mobility state of a specific target by using a particle filter having N particles defined as N independent random variables, wherein the processing unit is configured to:
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calculate a current speed of the specific target, and calculate a value relating to a cumulative probability at which the specific target has the current speed; repeat a particle update process of updating the N particles by a predetermined number of times; and after the repeating, calculate an average value of the updated N particles, and determine a mobility state of the specific target based on the average value, wherein a weight used for updating the value of the N particles is calculated by using the cumulative probability.
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Specification