The patent badge is an abbreviated version of the USPTO patent document. The patent badge does contain a link to the full patent document.
The patent badge is an abbreviated version of the USPTO patent document. The patent badge covers the following: Patent number, Date patent was issued, Date patent was filed, Title of the patent, Applicant, Inventor, Assignee, Attorney firm, Primary examiner, Assistant examiner, CPCs, and Abstract. The patent badge does contain a link to the full patent document (in Adobe Acrobat format, aka pdf). To download or print any patent click here.
Patent No.:
Date of Patent:
Oct. 20, 2015
Filed:
Mar. 12, 2014
Hrl Laboratories, Llc, Malibu, CA (US);
Lei Zhang, Torrance, CA (US);
Kyungnam Kim, Oak Park, CA (US);
Yang Chen, Westlake Village, CA (US);
Deepak Khosla, Camarillo, CA (US);
Shinko Y. Cheng, Cupertino, CA (US);
Alexander L. Honda, Sunnyvale, CA (US);
Changsoo S. Jeong, Rancho Palos, CA (US);
HRL Laboratories, LLC, Malibu, CA (US);
Abstract
Described is a system for multi-object detection and recognition in cluttered scenes. The system receives an image patch containing multiple objects of interest as input. The system evaluates a likelihood of existence of an object of interest in each sub-window of a set of overlapping sub-windows. A confidence map having confidence values corresponding to the sub-windows is generated. A non-maxima suppression technique is applied to the confidence map to eliminate sub-windows having confidence values below a local maximum confidence value. A global maximum confidence value is determined for a sub-window corresponding to a location of an instance of an object of interest in the image patch. The sub-window corresponding to the location of the instance of the object of interest is removed from the confidence map. The system iterates until a predetermined stopping criteria is met. Finally, detection information related to multiple instances of the object of interest is output.