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Video Stitching + 3D Real-Scene Fusion · Cross-Camera Continuous Target Tracking
Designed for intersections, road segments, and traffic hubs. The system stitches multiple surveillance feeds into a continuous panoramic video and overlays real video textures on 3D intersection models for three-dimensional traffic situational awareness. Vehicles, pedestrians, and other targets maintain trajectory continuity when switching between cameras, thoroughly solving cross-camera tracking disconnection.
Industry Pain Points
Intersection and road segment monitoring is scattered across multiple windows, making it impossible for operators to grasp the overall traffic situation of continuous road sections in a single view.
When vehicles and pedestrians switch between different cameras, target trajectories break, preventing continuous tracking of the same target across multiple feeds.
Flat video cannot reflect the three-dimensional structure of intersections, lane hierarchies, or spatial relationships; incident positioning relies on manual experience.
Anomalies such as congestion, wrong-way driving, and accidents require manual screen-by-screen inspection, resulting in long detection and response times with complex response chains.
Video Stitching + 3D Fusion
The solution builds traffic panoramic video capabilities in two steps: First, stitch multiple intersection cameras into a continuous panoramic video, eliminating fragmented views. Second, overlay the stitched video texture on 3D intersection models, creating an interactive real-scene 3D traffic environment. After both steps, cross-camera target tracking operates in continuous 3D space, and vehicle trajectories no longer break at camera boundaries.
Stitch multiple intersection and road segment cameras into a continuous panoramic video, eliminating fragmented views for a single-screen grasp of overall traffic conditions.
Overlay intersection 3D models on the stitched video, mapping real video textures into 3D space for three-dimensional traffic situational awareness.
Maintain trajectory continuity when targets switch between cameras, enabling continuous tracking of vehicles and pedestrians across the panoramic view without disconnection.
Overlay lane, intersection, event alert, and target trajectory tags on the panoramic or 3D view, making anomaly locations immediately apparent.
Two-step technical approach to upgrade from multi-channel independent monitoring to a 3D real-scene panoramic video system.
Stitch multiple intersection cameras into a continuous panoramic view, eliminating N-grid fragmentation

Build detailed 3D intersection models including lanes, road surfaces, buildings, and traffic facilities

Real video textures mapped onto 3D models, cross-camera target tracking continuously presented in three-dimensional space

Cross-Camera Continuous Tracking
In traditional multi-camera monitoring, when a vehicle moves from one camera's field of view to another, the target ID is lost and the trajectory breaks, requiring operators to manually re-locate the same vehicle across multiple windows. In the 3D real-scene fusion panorama, all camera views are unified into the same 3D spatial coordinate system, making target positions spatially continuous. Even across multiple camera boundaries, the system maintains target ID and trajectory continuity.
A vehicle enters from one side of the intersection, crosses through, and exits from the other side — the full trajectory is continuously displayed in the 3D scene without disconnection due to camera switching.
When pedestrians move between intersections, sidewalks, and green belts, the system continuously maintains target tracking, supporting trajectory review and behavior analysis.
When multiple vehicles travel through an intersection simultaneously, the system assigns each target a unique ID and tracks them all concurrently in the panoramic 3D scene without interference.
Integrate multiple rifle, dome, or panoramic cameras at intersections and road segments, completing calibration, distortion correction, and real-time stitching output.
Create 3D models of intersections and road segments, building detailed 3D scenes including lanes, road surfaces, buildings, and facilities.
Map the stitched panoramic video textures onto 3D models in real time, forming an interactive real-scene 3D traffic environment.
Achieve continuous cross-camera target tracking within the fused scene, outputting trajectories, alerts, event playback, and situational displays.
Function 01
When vehicles, pedestrians, and other targets switch between multiple cameras, the system maintains continuous target IDs and trajectories without breaking at camera boundaries. In panoramic or 3D views, a single vehicle traveling from one end of a road segment to the other always maintains a complete trajectory.
Function 02
Multiple intersection and road segment cameras stitched into one continuous panoramic video, allowing operators to grasp overall traffic flow, congestion distribution, and anomaly locations without switching windows.
Function 03
Real video textures overlaid on 3D intersection models create a 3D traffic scene. Lane occupancy, queue lengths, and incident positions are intuitively presented in 3D space with multi-angle viewing support.
Function 04
Anomalies such as congestion, wrong-way driving, illegal parking, and accidents are highlighted on panoramic or 3D views. Supports panoramic historical review by time, location, and event type to reconstruct incident processes.
| Feature | Supported |
|---|---|
| Real-time stitching of multiple intersection/road segment cameras into one panoramic video | ✓ |
| 3D intersection modeling for detailed 3D traffic scenes | ✓ |
| Real-time panoramic video texture mapping onto 3D models — video & 3D fusion | ✓ |
| Continuous cross-camera target tracking with uninterrupted vehicle/pedestrian trajectories | ✓ |
| AR annotation of lanes, intersections, event alerts, and target trajectories | ✓ |
| Automatic detection and alerting for congestion, wrong-way driving, illegal parking, and accidents | ✓ |
| Panoramic historical review by time, location, and event type | ✓ |
| Synchronized panoramic main view and local picture-in-picture coordination | ✓ |
| Support for large-screen display, B/S player, and video stream output | ✓ |
| Integration with existing NVR, VMS, and traffic management platforms | ✓ |
Upgrade from fragmented N-grid monitoring to continuous panoramic + 3D real scene — grasp overall traffic conditions on one screen
Cross-camera continuous tracking keeps vehicle trajectories complete, thoroughly solving target disconnection at camera boundaries
3D fusion provides three-dimensional spatial awareness — incident locations and lane status intuitively displayed in 3D scenes
Anomalies highlighted directly on panoramic/3D views, reducing detection and response time
Panoramic historical review supports incident reconstruction, providing complete video evidence for accident analysis and law enforcement
Reuse existing cameras and monitoring platforms for phased expansion by intersection and road segment
Supporting intersection location assessment, video stitching debugging, 3D modeling, cross-camera tracking configuration, and platform commissioning
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