Track

Track objects, people, and events across recorded video.

Follow movement and behavior across timelines using AI-powered video object tracking without relying on real-time processing.

Request demo Explore products

Stacked timeline tracks for video, object and people, with the matching time span highlighted in coral and a playhead.

Delivery mode

Post-processing

Track objects across stored video footage with high accuracy and contextual continuity.

Tracking scope

Objects, people, events

Reconstruct movement paths and connect events across time and camera locations.

Deployment fit

Production-grade

Built for scalable AI object tracking across large video datasets and multi-camera systems.

Capabilities

What this feature unlocks

Ceptory Track converts video into connected timelines of movement and behavior. Instead of isolated detections, teams can trace complete journeys across multiple cameras and timelines, understanding where something came from, where it went, and what happened in between.

Track objects, people, and vehicles across multiple cameras in recorded footage with continuous identity maintenance
Reconstruct complete movement paths and timelines from fragmented detections across frames and scenes
Maintain object identity across camera transitions, occlusions, and scene changes without manual re-identification
Connect isolated events into continuous sequences that reveal what happened before, during, and after an incident
Power investigation and compliance workflows with structured tracking outputs across large recorded video datasets

Workflow

How it fits into Ceptory

1
Index and process recorded video sources across single or multi-camera environments into a unified tracking layer.
2
Detect objects, people, or events across frames using AI object tracking models suited to your operating context.
3
Apply continuous identity tracking to maintain subject continuity across time, camera transitions, and scene changes.
4
Generate movement paths and event sequences that feed into search, analysis, investigation, and reporting workflows.

Integration

Built to plug into your stack

Trace incidents step-by-step across cameras and feed structured outputs into investigation and compliance workflows.
Combine with search to answer questions like where a person or object moved across a facility or timeline.
Align tracking pipelines with enterprise deployment environments like cloud, private cloud, or on-prem.

FAQ

Track: common questions

Talk to our team

Is this real-time object tracking?

No. Ceptory Track is designed for recorded video, enabling accurate AI object tracking and event reconstruction after incidents occur without the constraints of real-time processing.

Can it track across multiple cameras?

Yes. Ceptory Track supports video object tracking across multiple camera feeds, maintaining continuous subject identity and contextual continuity across camera transitions and timelines.

What types of objects can be tracked?

People, vehicles, assets, and any detectable object relevant to the use case, including investigation, retail analytics, compliance review, and operational monitoring scenarios.

Why use AI tracking on recorded video instead of real time?

Post-processing allows deeper analysis, more accurate event reconstruction, and better investigation workflows. It removes real-time constraints and enables thorough review across large video archives.