Video

Object Tracking

Track objects across video frames

385K runs

Note: This playground provides simulated output to showcase functionality. No input data is processed or stored on our servers. Use this demo to explore the feature extractor's capabilities before integrating it into your application.

Input

File URL string

Enter a URL to a video file

Upload video

Drag and drop a video file here, or click to browse

Select File

# model string

The object tracking model to use. Default: tracker-v2

# min_confidence number

Minimum confidence threshold for tracking. Default: 0.5

# track_classes array

Specific object classes to track. Default:

# max_tracks integer

Maximum number of objects to track. Default: 20

Output

{
  "tracks": [
    {
      "object_id": "obj001",
      "label": "person",
      "positions": [
        {
          "frame": 0,
          "bbox": [
            150,
            230,
            210,
            380
          ],
          "confidence": 0.97
        },
        {
          "frame": 15,
          "bbox": [
            165,
            232,
            225,
            382
          ],
          "confidence": 0.98
        },
        {
          "frame": 30,
          "bbox": [
            182,
            235,
            242,
            385
          ],
          "confidence": 0.96
        }
      ],
      "trajectory": "linear_rightward"
    }
  ],
  "track_count": 1,
  "frame_rate": 30,
  "duration": 10.5
}