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.

Date of Patent:
Aug. 30, 2016

Filed:

Feb. 05, 2015
Applicant:

Tata Consultancy Services Limited, Mumbai, Maharashtra, IN;

Inventors:

Sangheeta Roy, West Bengal, IN;

Tanushyam Chattopadhyay, West Bengal, IN;

Dipti Prasad Mukherjee, West Bengal, IN;

Attorney:
Primary Examiner:
Int. Cl.
CPC ...
G06K 9/00 (2006.01); G06K 9/46 (2006.01); G06T 7/00 (2006.01); G06T 7/40 (2006.01); G06K 9/48 (2006.01);
U.S. Cl.
CPC ...
G06K 9/00369 (2013.01); G06K 9/00201 (2013.01); G06K 9/00771 (2013.01); G06K 9/4638 (2013.01); G06T 7/0081 (2013.01); G06T 7/0093 (2013.01); G06T 7/0097 (2013.01); G06T 7/408 (2013.01); G06K 2009/485 (2013.01); G06T 2207/10024 (2013.01); G06T 2207/10028 (2013.01); G06T 2207/20021 (2013.01); G06T 2207/20072 (2013.01); G06T 2207/30196 (2013.01); G06T 2207/30232 (2013.01);
Abstract

Disclosed is a system and method for detecting a human in an image, and a corresponding activity. The image is captured, wherein the image comprises a plurality of pixels having gray scale information and a depth information. The image is segmented into a plurality of segments based upon the depth information. A connected component analysis is performed on a segment in order to segregate the one or more objects into noisy objects and candidate objects, the noisy objects are eliminated from the segment. A plurality of features are extracted from the candidate objects, and are evaluated using a Hidden Markov Model (HMM) model in order to determine the candidate objects as one of the human or non-human. The corresponding activity associated with the human is detected based on a depth value associated with each pixel corresponding to the candidate object in the image.


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