DocumentCode :
120875
Title :
A mathematical model to detect hand object from the scene
Author :
Garg, Radhika ; Aulakh, Inderdeep Kaur ; Kumari, N.
Author_Institution :
Dept. of IT, UIET, Chandigarh, India
fYear :
2014
fDate :
21-22 Feb. 2014
Firstpage :
1133
Lastpage :
1136
Abstract :
Image segmentation is one of major image processing activity used to identify a specific pixel area over the image. In this presented, an improved segmented approach is presented to recognize the object in a scene or image. Such kind of segmentation is helpful to identify the component object in a scene or the image. The presented work is based on the Mathematical analysis to identify the object position in the Scene. Once the object frame will be identified, the next work is to separate the object area from the background and in the final stage the edge detection will be implemented to highlight the object. In this paper, the basic segmentation approaches are defined along with the proposed algorithmic approach to perform the object detection. The work is here been defined for the hand object detection.
Keywords :
edge detection; feature extraction; image segmentation; object detection; object recognition; algorithmic approach; edge detection; hand object detection; image processing activity; image segmentation; mathematical analysis; object position identification; object recognition; pixel area; segmentation approach; Feature extraction; Image color analysis; Image segmentation; Object detection; Object recognition; Streaming media; Edge Segmentation; ROI Extraction; Segmentation; Similarity Measures;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Advance Computing Conference (IACC), 2014 IEEE International
Conference_Location :
Gurgaon
Print_ISBN :
978-1-4799-2571-1
Type :
conf
DOI :
10.1109/IAdCC.2014.6779485
Filename :
6779485
Link To Document :
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