ITEA is the Eureka Cluster on software innovation
ITEA is the Eureka Cluster on software innovation
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passenger recapture across multiple cameras

Project
21032 TAPCOP
Type
New library
Description

The project delivered an AI pipeline that reliably tracks passengers as they move between CCTV camera views onboard trains. This is challenging due to low camera angles, the linear layout of trains, dynamic lighting, occlusion by seats or other passengers, and changes in passenger appearance (e.g., removing jackets). The solution addresses these complexities, enabling long-term passenger recapture across distributed cameras. This result is a key advancement for applications like passenger counting, flow monitoring, and left luggage detection, enhancing train safety and operational efficiency.

Contact
Steven Lauwereins; Televic Rail NV
Email
s.lauwereins@televic.com
Research area(s)
AI, CCTV
Technical features

The project delivered an AI-based pipeline for robust passenger tracking across multiple CCTV cameras in trains. Key technical features include passenger recapturing based on the known camera layout, enabling seamless tracking across distributed cameras. The system handles gradual changes in passenger appearance, such as removing jackets or adding accessories, and supports long-term recapturing over several hours. Advanced dynamic lighting compensation ensures reliable operation in challenging conditions, such as transitions through tunnels or direct sunlight. This solution significantly enhances capabilities for applications like passenger flow monitoring and left luggage detection.

Integration constraints

Currently the solution requires high-end GPU's for real-time processing. The solution is an AI-based pipeline

Targeted customer(s)

Train Operating Companies, Train Builders

Conditions for reuse

Televic Rail is sole owner of the IP

Confidentiality
Public
Publication date
01-07-2024
Involved partners
SIRRIS (BEL)
Televic Rail N.V. (BEL)