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.
Document Type
Patent
Patent Number
USOO943 0701 B2
Assignee
Tata Consultancy Services Limited (IN)
Application Number
14/614,891
Date Filed
2-5-2015
Date Issued
8-30-2016
Recommended Citation
Roy, Sangheeta; Chattopadhyay, Tanushyam; and Mukherjee, Dipti Prasad, "Object detection system and method" (2016). Patents. 30.
https://digitalcommons.isical.ac.in/patents/30