System and method for tracking and recognizing people

a system and recognition technology, applied in the field of system and recognition methods for tracking and recognizing people, can solve problems such as the difficulty of accurately tracking multiple people in any real-world scenario
US20130136298A1Inactive Publication Date: 2013-05-30GENERAL ELECTRIC CO

Patent Information

Authority / Receiving Office
US Β· United States
Current Assignee / Owner
GENERAL ELECTRIC CO
Publication Date
2013-05-30
Estimated Expiration
Not applicable Β· inactive patent

Smart Images

  • Figure 1
    Figure 1
  • Figure 2
    Figure 2
  • Figure 3
    Figure 3
Patent Text Reader

Abstract

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.
Need to check novelty before this filing date? Find Prior Art

Description

BACKGROUND

[0001] Smart environments, such as an indoor office and / or living space with ambient intelligence, have been widely adopted in various domains. A prerequisite to taking advantage of the intelligent and context-aware services within these spaces is knowing people's locations and their spatiotemporal context with respect to the environment. Typically, person detectors and video-based person tracking systems with a tracking-by-detection paradigm may be utilized to determine people's location and their spatiotemporal context within the environment. For example, a multi-camera, multi-person tracking system may be utilized to localize and track individuals in real-time. However, various environmental challenges (e.g., harsh lighting conditions, cluttered backgrounds, etc.) may cause tracking errors making it difficult to accurately track multiple people in any real-world scenario.BRIEF DESCRIPTION

[0002] In a first embodiment, a tracking and recognition system is provided. The syst...

Claims

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to View More