Start Person Tracking
rekognition_start_person_tracking | R Documentation |
Starts the asynchronous tracking of a person's path in a stored video¶
Description¶
Starts the asynchronous tracking of a person's path in a stored video.
Amazon Rekognition Video can track the path of people in a video stored
in an Amazon S3 bucket. Use Video to specify the bucket name and the
filename of the video. start_person_tracking
returns a job identifier
(JobId
) which you use to get the results of the operation. When label
detection is finished, Amazon Rekognition publishes a completion status
to the Amazon Simple Notification Service topic that you specify in
NotificationChannel
.
To get the results of the person detection 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
.
Usage¶
rekognition_start_person_tracking(Video, ClientRequestToken,
NotificationChannel, JobTag)
Arguments¶
Video |
[required] The video in which you want to detect people. The video must be stored in an Amazon S3 bucket. |
ClientRequestToken |
Idempotent token used to identify the start request. If you use
the same token with multiple |
NotificationChannel |
The Amazon SNS topic ARN you want Amazon Rekognition Video to publish the completion status of the people detection operation to. The Amazon SNS topic must have a topic name that begins with AmazonRekognition if you are using the AmazonRekognitionServiceRole permissions policy. |
JobTag |
An identifier you specify that's returned in the completion
notification that's published to your Amazon Simple Notification Service
topic. For example, you can use |
Value¶
A list with the following syntax:
list(
JobId = "string"
)
Request syntax¶
svc$start_person_tracking(
Video = list(
S3Object = list(
Bucket = "string",
Name = "string",
Version = "string"
)
),
ClientRequestToken = "string",
NotificationChannel = list(
SNSTopicArn = "string",
RoleArn = "string"
),
JobTag = "string"
)