SYSTEM AND METHOD FOR TRACKING AND RECOGNIZING PEOPLE

摘要

A tracking and recognition system is provided. The system includes a computer vision-based identity recognition system configured to recognize one or more persons, without a priori knowledge of the respective persons, via an online discriminative learning of appearance signature models of the respective persons. The computer vision-based identity recognition system includes a memory physically encoding one or more routines, which when executed, cause the performance of constructing pairwise constraints between the unlabeled tracking samples. The computer vision-based identity recognition system also includes a processor configured to receive unlabeled tracking samples collected from one or more person trackers and to execute the routines stored in the memory via one or more algorithms to construct the pairwise constraints between the unlabeled tracking samples.

主权项

1. A method for tracking and recognition of people, comprising:
generating tracking samples from one or more person trackers of a tracking system; receiving unlabeled tracking samples from the generated tracking samples into a data buffer for a time span; generating weighted pairwise constraints between the unlabeled tracking samples; generating clusters via spectral clustering of the unlabeled tracking samples with weighted pairwise constraints; and learning in an online and discriminative manner a respective appearance signature model for each respective cluster.