Executive Summary
Person tracking in video enables systems to detect and continuously follow individuals across video frames while maintaining their unique identities. Unlike basic person detection, tracking accounts for movement, occlusion, and changes in lighting or position to maintain consistent identification.
This white paper explores a computer vision-based approach to person tracking, covering the complete workflow from video input and person detection to tracking, ID assignment, and analytics. It also discusses multi-object tracking and real-time processing for applications that require continuous video analysis.
Key Highlights
- Person Detection & Tracking: Detect and track individuals across video frames while maintaining unique IDs.
- Real-Time Multi-Object Tracking: Process video streams and monitor multiple individuals simultaneously.
- End-to-End Tracking Workflow: Covers video input, detection, tracking and ID assignment, analytics, and output.
- Practical Applications: Supports use cases across smart surveillance, crowd analytics, smart retail, and autonomous AI systems.
