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Review paper on Human Detection For Surveillance System


Author(s):

MOHIT BHUVNESH VORA , NOBLE GROUP OF INSTITUTIONS; Prof. Tanmay Vyas, Noble institutes, junagadh

Keywords:

: Histogram Oriented Gradients, Human Detection, Human motion detection, Support Vector machine, Surveillance System

Abstract:

Extracting high level features is an important field in video indexing and retrieving. Identifying the presence of human in video is one of these high level features, which facilitate the understanding of other aspects concerning people or the interactions between people. Our work proposes a method for identifying the presence of human in videos. The proposed algorithm detects the human face based on the colour and motion information extracted from frames over wide range of variations in lightning conditions, skin colour races, backgrounds and faces' sizes and orientations. Experimental results demonstrate the successfulness of the algorithm used and its capability in detecting faces under different challenges. The proposed work is crucial in lots of applications whose concern is mainly human activities and can be a basic step in such activities. So, for that an algorithm has been proposed to detect the presence of human in video sequence. The main technique used in building the proposed algorithm is motion detection technique. A series of stages were implemented in a certain order to promise maximizing the detection of Human Motion and eliminating the other objects (noise). The proposed algorithm detects Human Motion among Non-human objects.


Other Details:

Manuscript Id :IJSTEV1I8004
Published in :Volume : 1, Issue : 8
Publication Date: 01/03/2015
Page(s): 4-6
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