Human detection apparatus
US-2015117773-A1 · Apr 30, 2015 · US
US12260647B2 · US · B2
| Field | Value |
|---|---|
| Publication number | US-12260647-B2 |
| Application number | US-202017781089-A |
| Country | US |
| Kind code | B2 |
| Filing date | Nov 19, 2020 |
| Priority date | Dec 10, 2019 |
| Publication date | Mar 25, 2025 |
| Grant date | Mar 25, 2025 |
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A measurement apparatus detects a person and an umbrella based on acquired image data, and measures the number of persons based on a detected result.
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What is claimed is: 1. A measurement method performed by a computer comprising: acquiring, from a camera, a plurality of frames of image data; detecting an umbrella and each of one or more heads in each frame; generating, on each frame, a rectangle surrounding each detected head and a rectangle surrounding the detected umbrella; for each head, generating a tracking line connecting the head between the frames; generating a tracking line connecting the umbrella between the frames; determining a number of associations satisfying a condition, each association including the umbrella and one of the heads; and outputting a number of persons in the image data as the number of the associations satisfying the condition. 2. The measurement method according to claim 1 , comprising: associating the persons and the umbrella. 3. The measurement method according to claim 2 , comprising associating each person and the umbrella based on a positional relation between the rectangle corresponding to the person and the umbrella in the frames. 4. The measurement method according to claim 2 , comprising associating each person and the umbrella based on a relation between the rectangle corresponding to movement angles of the person and the umbrella in the frames. 5. The measurement method according to claim 2 , comprising associating each person and the umbrella based on how the rectangle corresponding to the person and the umbrella overlap in the frames. 6. The measurement method according to claim 5 , comprising associating each person and the umbrella based on how the rectangle corresponding to the person and a result of shifting a rectangle enclosing the umbrella by a predetermined method overlap. 7. The measurement method according to claim 1 , comprising when detecting the umbrella and each of one or more heads in each frame, performing the measurement corresponding to the number of the persons associated with the umbrella. 8. The measurement method according to claim 1 , comprising when detecting the umbrella that is not associated with the persons, measuring the number of the persons based on a result of detecting the umbrella. 9. A measurement apparatus comprising: a memory storing instructions; and a processor configured to execute the instructions to: acquire, from a camera, a plurality of frames of image data; detect an umbrella and each of one or more heads in each frame; generate, on each frame, a rectangle surrounding each detected head and a rectangle surrounding the detected umbrella; for each head, generate a tracking line connecting the head between the frames; generate a tracking line connecting the umbrella between the frames; determine a number of associations satisfying a condition, each association including the umbrella and one of the heads; and output a number of persons in the image data as the number of the associations satisfying the condition. 10. A non-transitory computer-readable recording medium storing a program executable by a measurement apparatus to perform a process comprising: acquiring, from a camera, a plurality of frames of image data; detecting an umbrella and each of one or more heads in each frame; generating, on each frame, a rectangle surrounding each detected head and a rectangle surrounding the detected umbrella; for each head, generating a tracking line connecting the head between the frames; generating a tracking line connecting the umbrella between the frames; determining a number of associations satisfying a condition, each association including the umbrella and one of the heads; and outputting a number of persons in the image data as the number of the associations satisfying the condition.
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