Multi-Object Tracking (MOT)
Simultaneous tracking of multiple intersecting entities across continuous video frames, maintaining persistent global track IDs, frame-by-frame spatial coordinates, and entry/exit logging.
VIDEO TRACKING & OBJECT INTERPOLATION
Frame-Consistent Object Tracking for Dynamic Vision Models.
A reliable video dataset requires more than labeling the same object repeatedly across frames. Josisoft builds tracking workflows around persistent object identities, motion continuity, occlusion rules, interpolation strategy, and event-specific edge cases. Our trained annotation pods maintain object consistency across sequences and validate trajectories through structured QA, giving vision teams clean temporal data for detection, tracking, activity understanding, and autonomous systems.
Talk to a Data SpecialistVehicle #014
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FRAME 01842 / 02400KEYFRAMECore Video Tracking Capabilities
Single-Object Tracking (SOT / VOT)
Dedicated lock-and-track annotation for high-priority single targets across extended video sequences, preserving tracking stability through extreme scale changes, rapid rotations, and severe background clutter.
Keyframe Annotation & Spline Interpolation
Strategic anchor-frame labeling combined with linear, polynomial, and spline interpolation algorithms to automatically calculate and populate intermediate frames with high temporal consistency.
Video Instance Segmentation (VIS)
Pixel-level dynamic polygon and mask tracking across sequential video frames, modeling non-rigid shape deformation, contour boundary shifts, and persistent instance IDs over time.
Video Panoptic Segmentation (VPS)
Unified multi-frame scene parsing tracking both discrete moving instances ("things") and temporally shifting amorphous background regions ("stuff") across continuous video streams.
3D Cuboid Video Tracking
Continuous temporal tracking of 3D oriented bounding boxes (x, y, z, dimensions, heading, and yaw) across monocular and stereo video feeds for spatial perception and ADAS modeling.
Skeletal & Keypoint Pose Tracking
Continuous multi-frame tracking of anatomical joint hierarchies, facial landmarks, and structural nodes for kinematics, ergonomic safety analysis, athletic motion, and gesture recognition.
Temporal Action Localization (TAL)
Frame-accurate boundary detection and timestamp interval logging (start and end times) for activities, state transitions, and behavioral events across continuous, untrimmed video.
Spatio-Temporal Action Detection (Actor-Action Tubelets)
Joint spatial-temporal annotation linking moving bounding boxes to atomic action labels and behavioral states frame-by-frame for behavioral analysis and workplace safety monitoring.
Trajectory, Velocity & Motion Vector Modeling
Multi-frame spatial path extraction mapping forward motion trajectories, heading angles, velocity vectors, and future waypoints for autonomous motion prediction algorithms.
Multi-Camera Tracking & Cross-Camera Re-ID
Cross-camera entity association and re-identification, maintaining persistent global IDs as subjects transition across distributed, non-overlapping camera networks and varying perspective angles.
Drone & Aerial Oriented Bounding Box (OBB) Video Tracking
Multi-frame tracking using rotated bounding boxes (θ-angle heading) for arbitrary-orientation aerial targets, including vehicles, maritime vessels, and wildlife captured from drone and UAV video feeds.
Tooling & Platform-Agnostic Execution
Client-Hosted Platforms
Our tracking teams work directly inside client-approved environments such as CVAT, Label Studio, V7, SuperAnnotate, Kili Technology, Roboflow, or other platforms supporting frame-based tracking, interpolation, polygons, masks, and object IDs.
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Proprietary Client Consoles
Annotators can work within client-owned video labeling interfaces through approved secure access, following your existing track-ID rules, timeline controls, class taxonomy, event logic, interpolation behavior, and review stages.
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Josisoft Managed Infrastructure
When no production labeling environment is available, we configure isolated project workspaces around your video taxonomy, tracking rules, keyframe strategy, role permissions, and QA stages for pilot and production delivery.
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Real-World Video Tracking Applications
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Autonomous Mobility & ADAS
Track vehicles, pedestrians, cyclists, traffic participants, and moving road objects across sequences for perception, behavior prediction, collision-risk modeling, and scene understanding.
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PERSON / VEHICLE / ZONESurveillance & Smart Infrastructure
Persistent object tracking across cameras or long sequences for people, vehicles, queues, movement patterns, zone transitions, and operational analytics.
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Retail, Logistics & Warehouse Vision
Track products, packages, pallets, carts, workers, and material movement across conveyor systems, fulfillment centers, stores, and warehouse environments.
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Sports & Human Motion
Track players, athletes, equipment, body movement, interactions, and event sequences across video for analytics, action recognition, and performance datasets.
Security, Compliance & Workforce Governance
Mandatory Bilateral NDAs
Every annotator, QA reviewer, and project manager signs an NDA before accessing project assets.
Security & Clean-Room Training
Personnel are trained on data confidentiality: strict restrictions on screen sharing, zero tolerance for screen recording or screenshots, and supervised session management.
Governed Physical Delivery Hub
On-premise operations at our central Durgapur facility enforce controlled local networks, restricted USB and removable media ports, and supervised work environments.
Isolated Hybrid Pods
Each client is assigned a dedicated team working in siloed environments, preventing cross-project data contamination and maintaining domain context.
CLIENT DATA BOUNDARY
CONTROLLED ACCESS
ISOLATED PODNDA · VPN · SUPERVISION
START A PROJECT
Request a Pilot BatchStart With a Calibrated Video Tracking Pilot.
Share a representative video sequence, object taxonomy, track-ID rules, and interpolation guidelines with our delivery team. We will calibrate the workflow, annotate a controlled pilot sequence, review temporal edge cases and track consistency, and return the sample for acceptance before production scaling.