Object Detection using Bag of Words
₹6,000.00
In this image processing project is,Object Detection using Bag of Words.
Platform : Matlab
Delivery : One Working Day
Support : Online Demo ( 2 Hours)
100 in stock
Description
Object Detection using Bag of Words
In this project, object detection plays a critical role in robust image recognition systems, and can be applied in a multitude of applications, ranging from simple monitoring to advanced tracking. In this paper it is analyzed the usage of the Bag of Words model to efficiently detect and recognize objects that can appear in different scales, orientations and even from different perspective views. This approach relies in image analysis techniques, such as feature detection, description and clustering, in order to be able to recognize the target object even if it is present in cluttered environments. For supporting the recognition in different perspective views, machine learning techniques are used to build a model of the target objects. This model can then be employed to successfully detect if an instance of the target object is present in an image. For pinpointing the location of the target object, a sliding window method is used in conjunction with dynamic thresholding.This experimental results gives the high accuracy and efficiency.
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Additional information
Weight | 1.000000 kg |
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