Helmet Detection using matlab


In this image processing project is,to detects bike riders wearing helmets or not using background subtraction and object segmentation.

Platform : Matlab

Delivery : One Working Day

Support : Online Demo ( 2 Hours)

100 in stock

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Helmet detection using matlab

                 In this project, we propose an approach for automatic detection of bike-riders without helmet using surveillance videos in real time. The proposed approach first detects bike riders from surveillance video using background subtraction and object segmentation. Then it determines whether bike-rider is using a helmet or not using visual features and binary classifier. Also, we present a consolidation approach for violation reporting which helps in improving reliability of the proposed approach. In order to evaluate our approach, we have provided a performance comparison of three widely used feature representations namely histogram of oriented gradients (HOG), scale-invariant feature transform (SIFT), and local binary patterns (LBP) for classification. The experimental results show detection accuracy of 93.80% on the real world surveillance data. It has also been shown that proposed approach is computationally less expensive and performs in real-time with a processing time of 11.58 ms per frame.

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Weight 1.000000 kg


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