Title :
Adjacency Matrix Based Objects Representation for Human Identification in Images
Author :
Saravanakumar, S. ; Vadivel, A.
Author_Institution :
Dept. of Comput. Applic., Nat. Inst. of Technol., Tiruchirappalli, India
Abstract :
In this paper the human object present in images are identified. K-means clustering algorithm is used for segmenting the images and Connected Component Analysis is used as post-processing step. Initially, templates are created from human posture in idle and various angles. The adjacency matrix is constructed from objects and it is matched with templates. A similarity measure has been proposed for estimating the matching.
Keywords :
graph theory; image classification; image matching; image representation; image segmentation; matrix algebra; adjacency matrix; adjacency matrix based objects representation; connected component analysis; human images identification; human posture; images matching; images segmentation; k-means clustering algorithm; Algorithm design and analysis; Biological system modeling; Clustering algorithms; Communications technology; Computer applications; Data mining; Humans; Image analysis; Image segmentation; Surveillance;
Conference_Titel :
Advances in Recent Technologies in Communication and Computing, 2009. ARTCom '09. International Conference on
Conference_Location :
Kottayam, Kerala
Print_ISBN :
978-1-4244-5104-3
Electronic_ISBN :
978-0-7695-3845-7
DOI :
10.1109/ARTCom.2009.70
