import type { MetadataBearer as __MetadataBearer } from "@smithy/types";
import type { StartPersonTrackingRequest, StartPersonTrackingResponse } from "../models/models_0";
/**
 * @public
 */
export type { __MetadataBearer };
/**
 * @public
 *
 * The input for {@link StartPersonTrackingCommand}.
 */
export interface StartPersonTrackingCommandInput extends StartPersonTrackingRequest {
}
/**
 * @public
 *
 * The output of {@link StartPersonTrackingCommand}.
 */
export interface StartPersonTrackingCommandOutput extends StartPersonTrackingResponse, __MetadataBearer {
}
declare const StartPersonTrackingCommand_base: {
    new (input: StartPersonTrackingCommandInput): import("@smithy/core/client").CommandImpl<StartPersonTrackingCommandInput, StartPersonTrackingCommandOutput, import("..").RekognitionClientResolvedConfig, import("..").ServiceInputTypes, import("..").ServiceOutputTypes>;
    new (input: StartPersonTrackingCommandInput): import("@smithy/core/client").CommandImpl<StartPersonTrackingCommandInput, StartPersonTrackingCommandOutput, import("..").RekognitionClientResolvedConfig, import("..").ServiceInputTypes, import("..").ServiceOutputTypes>;
    getEndpointParameterInstructions(): import("@smithy/types").EndpointParameterInstructions;
};
/**
 * <note>
 *             <p>
 *                <i>End of support notice:</i> 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 <a href="https://aws.amazon.com/blogs/machine-learning/transitioning-from-amazon-rekognition-people-pathing-exploring-other-alternatives/">blog post</a>.</p>
 *          </note>
 *          <p>Starts the asynchronous tracking of a person's path in a stored video.</p>
 *          <p>Amazon Rekognition Video can track the path of people in a video stored in an Amazon S3 bucket. Use <a>Video</a> to specify the bucket name
 *        and the filename of the video. <code>StartPersonTracking</code>
 *        returns a job identifier (<code>JobId</code>) 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 <code>NotificationChannel</code>. </p>
 *          <p>To get the results of the person detection operation, first check that the status value published to the Amazon SNS
 *        topic is <code>SUCCEEDED</code>. If so, call  <a>GetPersonTracking</a> and pass the job identifier
 *       (<code>JobId</code>) from the initial call to <code>StartPersonTracking</code>.</p>
 * @example
 * Use a bare-bones client and the command you need to make an API call.
 * ```javascript
 * import { RekognitionClient, StartPersonTrackingCommand } from "@aws-sdk/client-rekognition"; // ES Modules import
 * // const { RekognitionClient, StartPersonTrackingCommand } = require("@aws-sdk/client-rekognition"); // CommonJS import
 * // import type { RekognitionClientConfig } from "@aws-sdk/client-rekognition";
 * const config = {}; // type is RekognitionClientConfig
 * const client = new RekognitionClient(config);
 * const input = { // StartPersonTrackingRequest
 *   Video: { // Video
 *     S3Object: { // S3Object
 *       Bucket: "STRING_VALUE",
 *       Name: "STRING_VALUE",
 *       Version: "STRING_VALUE",
 *     },
 *   },
 *   ClientRequestToken: "STRING_VALUE",
 *   NotificationChannel: { // NotificationChannel
 *     SNSTopicArn: "STRING_VALUE", // required
 *     RoleArn: "STRING_VALUE", // required
 *   },
 *   JobTag: "STRING_VALUE",
 * };
 * const command = new StartPersonTrackingCommand(input);
 * const response = await client.send(command);
 * // { // StartPersonTrackingResponse
 * //   JobId: "STRING_VALUE",
 * // };
 *
 * ```
 *
 * @param StartPersonTrackingCommandInput - {@link StartPersonTrackingCommandInput}
 * @returns {@link StartPersonTrackingCommandOutput}
 * @see {@link StartPersonTrackingCommandInput} for command's `input` shape.
 * @see {@link StartPersonTrackingCommandOutput} for command's `response` shape.
 * @see {@link RekognitionClientResolvedConfig | config} for RekognitionClient's `config` shape.
 *
 * @throws {@link AccessDeniedException} (client fault)
 *  <p>You are not authorized to perform the action.</p>
 *
 * @throws {@link IdempotentParameterMismatchException} (client fault)
 *  <p>A <code>ClientRequestToken</code> input parameter was reused with an operation, but at least one of the other input
 *         parameters is different from the previous call to the operation.</p>
 *
 * @throws {@link InternalServerError} (server fault)
 *  <p>Amazon Rekognition experienced a service issue. Try your call again.</p>
 *
 * @throws {@link InvalidParameterException} (client fault)
 *  <p>Input parameter violated a constraint. Validate your parameter before calling the API
 *       operation again.</p>
 *
 * @throws {@link InvalidS3ObjectException} (client fault)
 *  <p>Amazon Rekognition is unable to access the S3 object specified in the request.</p>
 *
 * @throws {@link LimitExceededException} (client fault)
 *  <p>An Amazon Rekognition service limit was exceeded. For example, if you start too many jobs
 *             concurrently, subsequent calls to start operations (ex:
 *             <code>StartLabelDetection</code>) will raise a <code>LimitExceededException</code>
 *             exception (HTTP status code: 400) until the number of concurrently running jobs is below
 *             the Amazon Rekognition service limit. </p>
 *
 * @throws {@link ProvisionedThroughputExceededException} (client fault)
 *  <p>The number of requests exceeded your throughput limit. If you want to increase this
 *       limit, contact Amazon Rekognition.</p>
 *
 * @throws {@link ThrottlingException} (server fault)
 *  <p>Amazon Rekognition is temporarily unable to process the request. Try your call again.</p>
 *
 * @throws {@link VideoTooLargeException} (client fault)
 *  <p>The file size or duration of the supplied media is too large. The maximum file size is 10GB.
 *         The maximum duration is 6 hours. </p>
 *
 * @throws {@link RekognitionServiceException}
 * <p>Base exception class for all service exceptions from Rekognition service.</p>
 *
 *
 * @public
 */
export declare class StartPersonTrackingCommand extends StartPersonTrackingCommand_base {
    /** @internal type navigation helper, not in runtime. */
    protected static __types: {
        api: {
            input: StartPersonTrackingRequest;
            output: StartPersonTrackingResponse;
        };
        sdk: {
            input: StartPersonTrackingCommandInput;
            output: StartPersonTrackingCommandOutput;
        };
    };
}