Authors :
Saikat Goswami; Mohammad Shorif Uddin; Mahia Rezwana Oishi; Shaiedul Islam Shehab; Nazmus Shakib
Volume/Issue :
Volume 7 - 2022, Issue 1 - January
Google Scholar :
http://bitly.ws/gu88
Scribd :
https://bit.ly/33cVtou
DOI :
https://doi.org/10.5281/zenodo.6044966
Abstract :
- There are frequent vehicle accidents in our
country due to reckless driving and also break the driving
rules. So, main purpose for this research comes from the
situation of our country worsts vehicles. Now-a-days in
our country vehicles damage are increasing rapidly. This
is why a concept that emphasizes on the betterment of our
country traffic environment. Here, apply two methods for
detect the vehicle. Such as Lens-based vehicle Classifier
and Haar cascade classifier. Lens-based Vehicle Classifier
and Haar cascade classifier used for utilize the object
detect of the vehicle. And all the procedure is held with
camera and sensor to detect the vehicles. In the primary
level, DSLR camera takes multiple photographs in a
different way after the image is resister in database. All
the process is held like heat map, bounding box, threshold
and merged box in database. So, heat map highlights the
image and send to the bounding box for predict. This
prediction is also a smaller number of images. Heat map
are used for bounding box that threshold of 85%
probability of any class of object. Regressor when
included the output of image pixel are merged. And
finally, all the procedure done and get a result of vehicle
detection that accuracy 85% or less.
Befeore Correction:
Keywords :
Computer Vision & Digital Image Processing.
- There are frequent vehicle accidents in our
country due to reckless driving and also break the driving
rules. So, main purpose for this research comes from the
situation of our country worsts vehicles. Now-a-days in
our country vehicles damage are increasing rapidly. This
is why a concept that emphasizes on the betterment of our
country traffic environment. Here, apply two methods for
detect the vehicle. Such as Lens-based vehicle Classifier
and Haar cascade classifier. Lens-based Vehicle Classifier
and Haar cascade classifier used for utilize the object
detect of the vehicle. And all the procedure is held with
camera and sensor to detect the vehicles. In the primary
level, DSLR camera takes multiple photographs in a
different way after the image is resister in database. All
the process is held like heat map, bounding box, threshold
and merged box in database. So, heat map highlights the
image and send to the bounding box for predict. This
prediction is also a smaller number of images. Heat map
are used for bounding box that threshold of 85%
probability of any class of object. Regressor when
included the output of image pixel are merged. And
finally, all the procedure done and get a result of vehicle
detection that accuracy 85% or less.
Befeore Correction:
Keywords :
Computer Vision & Digital Image Processing.