Starts the asynchronous tracking of a person's path in a stored video
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.
rekognition_start_person_tracking(Video, ClientRequestToken, NotificationChannel, JobTag)
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. |
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 |
A list with the following syntax:
list( JobId = "string" )
svc$start_person_tracking(
Video = list(
S3Object = list(
Bucket = "string",
Name = "string",
Version = "string"
)
),
ClientRequestToken = "string",
NotificationChannel = list(
SNSTopicArn = "string",
RoleArn = "string"
),
JobTag = "string"
)Please choose more modern alternatives, such as Google Chrome or Mozilla Firefox.