Visible to the public Fusion of Wifi and Visual Signals for Person Tracking

TitleFusion of Wifi and Visual Signals for Person Tracking
Publication TypeConference Paper
Year of Publication2016
AuthorsPham, Thuy Thi Thanh, Le, Thi-Lan, Dao, Trung-Kien
Conference NameProceedings of the Seventh Symposium on Information and Communication Technology
Conference LocationNew York, NY, USA
ISBN Number978-1-4503-4815-7
Keywordsadaptive filtering, camera, fusion method, Kalman filter, optimal algorithm, person tracking, pubcrawl, Resiliency, scalabilty, WiFi
AbstractPerson tracking is crucial in any automatic person surveillance systems. In this problem, person localization and re-identification (Re-ID) are both simultaneously processed to show separated trajectories for each individual. In this paper, we propose to use mixture of WiFi and camera systems for person tracking in indoor surveillance regions covered by WiFi signals and disjointed camera FOVs (Field of View). A fusion method is proposed to combine the position observations achieved from each single system of WiFi or camera. The combination is done based on an optimal assignment between the position observations and predicted states from camera and WiFi systems. The correction step of Kalman filter is then applied for each tracker to give out state estimations of locations. The fusion method allows tracking by identification in non-overlapping cameras, with clear identity information taken from WiFi adapter. The experiments on a multi-model dataset show outperforming tracking results of the proposed fusion method in comparison with vision-based only method.
Citation Keypham_fusion_2016