Remote Identification and Tracking of Non-Cooperative Subjects (REMIT-NCS)
The ability to reliably track and recognize individuals inside a security perimeter is a critical component of next-generation distributed security
systems. While state-of-the-art surveillance systems can reliably track pedestrians in sparse, static environments with minor occlusions and few moving
subjects, performance degrades rapidly as scene complexity and population density increase. The problem becomes even more difficult when tracking
individuals over long time scales, or across cameras with non-overlapping fields of view, a scenario which is unavoidable in most urban environments.
Existing systems are also unable to re-acquire individuals who have been previously tracked in a separate location, but for whom recent track data is
To address these issues, we propose a system for Remote Identification and Tracking of Non-Cooperative Subjects (REMIT-NCS). REMIT-NCS
extracts stable, descriptive bio-signatures from tracked individuals in remote imagery by reconstructing the anthropometric parameters (shape and
pose) of a tracked individual and using them to produce higher-order, viewpoint-insensitive descriptions of a specific individual's dynamics. The
combined descriptions of a tracked pedestrian's static and dynamic attributes are then compared to a database of similarly generated tracks to identify
the features most suitable for supporting long-term tracking and re-acquisition.
Small Business Information at Submission:
Charles River Analytics Inc.
625 Mount Auburn Street Cambridge, MA 02138-4555
Number of Employees: