Accepted inputs
- MP4, MOV, AVI and agreed video formats
- Frame sequences
- Pre-tracked video requiring correction
- Client-platform projects with configured labels
VIDEO OBJECT TRACKING
Video Annotation and Object Tracking
Video annotation is not a sequence of unrelated images. We maintain object identity over time, place keyframes where motion or visibility changes, and review interpolated geometry between them so tracks remain usable across the full sequence.
SCOPE
What this service covers
Bounding-box and polygon tracksPersistent track IDsKeyframe placement and interpolation reviewOcclusion and reappearance statesPer-track and per-frame attributesFrame-level quality or event flags
Annotation approach
- Sequence and frame-rate review
- Track creation at first valid visibility
- Keyframes at motion, scale and shape changes
- Identity-preserving occlusion handling
- Track termination under agreed exit rules
Common edge cases
- Temporary and full occlusion
- Objects leaving and re-entering the frame
- Camera cuts and abrupt motion
- Crowded scenes and visually similar objects
- Duplicate frames and inconsistent source naming
QUALITY ASSURANCE
Review that follows the guideline
Quality checks are selected for the data type and acceptance criteria. Metrics and review coverage depend on the project, platform and agreed workflow.
Track-ID continuity checksInterpolation and keyframe reviewMissed-frame and track-gap detectionClass and attribute consistencySequence-level export validation
Applications
- Traffic and mobility
- Maritime operations
- Security video
- Sports and behavior analysis
- Robotics and industrial workflows
Output formats
- CVAT XML/JSON
- COCO video-compatible JSON
- MOT-style outputs
- Frame-level JSON or CSV
- Client-defined tracking schemas
What to include in your brief
- Sample sequences and frame rate
- Object lifecycle and identity rules
- Occlusion and re-entry policy
- Keyframe expectations
- Required attributes, format and acceptance criteria
START WITH A CALIBRATION BATCH
Reduce uncertainty before production.
Share your guidelines, sample characteristics, volume, preferred platform and timeline. We’ll assess the scope and propose a representative calibration step.
Discuss your dataset