UMD_VDT, an Integration of Detection and Tracking Methods for Multiple Human Tracking

Authors:
Son Tran;Zhe Lin;David Harwood;Larry Davis
Affiliations:
UMIACS, University of Maryland, College Park, USA MD 20740;UMIACS, University of Maryland, College Park, USA MD 20740;UMIACS, University of Maryland, College Park, USA MD 20740;UMIACS, University of Maryland, College Park, USA MD 20740
Venue:
Multimodal Technologies for Perception of Humans
Year:
2008

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Abstract

We integrate human detection and regional affine invariant feature tracking into a robust human tracking system. First, foreground blobs are detected using background subtraction. The background model is built with a local predictive model to cope with large illumination changes. Detected foreground blobs are then used by a box tracker to establish stable tracks of moving objects. Human detection hypotheses are detected using a combination of both shape and region information through a hierarchical part-template matching method. Human detection results are then used to refine tracks for moving people. Track refinement, extension and merging are carried out with a robust tracker that is based on regional affine invariant features. We show experimental results for the separate components as well as the entire system.