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Multilayer Convolution Neural Network for the Classification of Mango Leaves Infected by Anthracnose Disease
PROJ1223-01
PROJ1223-02
Multilayer Convolution Neural Network for the Classification of Mango Leaves Infected by Anthracnose Disease
PROJ1223-01
PROJ1223-02

HIERARCHICAL FILTERED MOTION FOR ACTION RECOGNITION IN CROWDED VIDEOS

SKU: PROJ1223
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Rs4,500.00

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Description

ABSTRACT:

     In this paper, we propose an efficient hierarchical filtering technique to extract motion

information and reduce the distracting motions that are caused by the background moving

objects. Initially we segment the person from the video.  In this paper, we detect the 2-D Harris

corner detection, MHI calculation. These corner points are play as a feature values.  Finally it will

classify by the GMM(Gaussian Mixture model). It will predict about the action.

                                                

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Multilayer Convolution Neural Network for the Classification of Mango Leaves Infected by Anthracnose Disease

HIERARCHICAL FILTERED MOTION FOR ACTION RECOGNITION IN CROWDED VIDEOS

Write a review
Our Price

Rs4,500.00