End of support notice: On October 31, 2025, AWS will discontinue support for Amazon Rekognition People Pathing¶
Description¶
End of support notice: On October 31, 2025, AWS will discontinue support for Amazon Rekognition People Pathing. After October 31, 2025, you will no longer be able to use the Rekognition People Pathing capability. For more information, visit this blog post.
Gets the path tracking results of a Amazon Rekognition Video analysis started by start_person_tracking.
The person path tracking operation is started by a call to start_person_tracking which returns a job identifier (JobId). When the operation finishes, Amazon Rekognition Video publishes a completion status to the Amazon Simple Notification Service topic registered in the initial call to start_person_tracking.
To get the results of the person path tracking operation, first check that the status value published to the Amazon SNS topic is SUCCEEDED. If so, call get_person_tracking and pass the job identifier (JobId) from the initial call to start_person_tracking.
get_person_tracking returns an array, Persons, of tracked persons and the time(s) their paths were tracked in the video.
get_person_tracking only returns the default facial attributes (BoundingBox, Confidence, Landmarks, Pose, and Quality). The other facial attributes listed in the Face object of the following response syntax are not returned.
For more information, see FaceDetail in the Amazon Rekognition Developer Guide.
By default, the array is sorted by the time(s) a person's path is tracked in the video. You can sort by tracked persons by specifying INDEX for the SortBy input parameter.
Use the MaxResults parameter to limit the number of items returned. If there are more results than specified in MaxResults, the value of NextToken in the operation response contains a pagination token for getting the next set of results. To get the next page of results, call get_person_tracking and populate the NextToken request parameter with the token value returned from the previous call to get_person_tracking.
Usage¶
Arguments¶
-
JobId[required] The identifier for a job that tracks persons in a video. You get the
JobIdfrom a call tostart_person_tracking. -
MaxResultsMaximum number of results to return per paginated call. The largest value you can specify is 1000. If you specify a value greater than 1000, a maximum of 1000 results is returned. The default value is 1000.
-
NextTokenIf the previous response was incomplete (because there are more persons to retrieve), Amazon Rekognition Video returns a pagination token in the response. You can use this pagination token to retrieve the next set of persons.
-
SortBySort to use for elements in the
Personsarray. UseTIMESTAMPto sort array elements by the time persons are detected. UseINDEXto sort by the tracked persons. If you sort byINDEX, the array elements for each person are sorted by detection confidence. The default sort is byTIMESTAMP.
Value¶
A list with the following syntax:
list(
JobStatus = "IN_PROGRESS"|"SUCCEEDED"|"FAILED",
StatusMessage = "string",
VideoMetadata = list(
Codec = "string",
DurationMillis = 123,
Format = "string",
FrameRate = 123.0,
FrameHeight = 123,
FrameWidth = 123,
ColorRange = "FULL"|"LIMITED"
),
NextToken = "string",
Persons = list(
list(
Timestamp = 123,
Person = list(
Index = 123,
BoundingBox = list(
Width = 123.0,
Height = 123.0,
Left = 123.0,
Top = 123.0
),
Face = list(
BoundingBox = list(
Width = 123.0,
Height = 123.0,
Left = 123.0,
Top = 123.0
),
AgeRange = list(
Low = 123,
High = 123
),
Smile = list(
Value = TRUE|FALSE,
Confidence = 123.0
),
Eyeglasses = list(
Value = TRUE|FALSE,
Confidence = 123.0
),
Sunglasses = list(
Value = TRUE|FALSE,
Confidence = 123.0
),
Gender = list(
Value = "Male"|"Female",
Confidence = 123.0
),
Beard = list(
Value = TRUE|FALSE,
Confidence = 123.0
),
Mustache = list(
Value = TRUE|FALSE,
Confidence = 123.0
),
EyesOpen = list(
Value = TRUE|FALSE,
Confidence = 123.0
),
MouthOpen = list(
Value = TRUE|FALSE,
Confidence = 123.0
),
Emotions = list(
list(
Type = "HAPPY"|"SAD"|"ANGRY"|"CONFUSED"|"DISGUSTED"|"SURPRISED"|"CALM"|"UNKNOWN"|"FEAR",
Confidence = 123.0
)
),
Landmarks = list(
list(
Type = "eyeLeft"|"eyeRight"|"nose"|"mouthLeft"|"mouthRight"|"leftEyeBrowLeft"|"leftEyeBrowRight"|"leftEyeBrowUp"|"rightEyeBrowLeft"|"rightEyeBrowRight"|"rightEyeBrowUp"|"leftEyeLeft"|"leftEyeRight"|"leftEyeUp"|"leftEyeDown"|"rightEyeLeft"|"rightEyeRight"|"rightEyeUp"|"rightEyeDown"|"noseLeft"|"noseRight"|"mouthUp"|"mouthDown"|"leftPupil"|"rightPupil"|"upperJawlineLeft"|"midJawlineLeft"|"chinBottom"|"midJawlineRight"|"upperJawlineRight",
X = 123.0,
Y = 123.0
)
),
Pose = list(
Roll = 123.0,
Yaw = 123.0,
Pitch = 123.0
),
Quality = list(
Brightness = 123.0,
Sharpness = 123.0
),
Confidence = 123.0,
FaceOccluded = list(
Value = TRUE|FALSE,
Confidence = 123.0
),
EyeDirection = list(
Yaw = 123.0,
Pitch = 123.0,
Confidence = 123.0
)
)
)
)
),
JobId = "string",
Video = list(
S3Object = list(
Bucket = "string",
Name = "string",
Version = "string"
)
),
JobTag = "string"
)