Vol. 4 Issue 2
Year:2015
Issue:Mar-May
Title:Intelligent and Fast Object Detection [FOD] Using Object Properties
Author Name:D. Sasireka, D. Jeyabharathi, D. Kesavaraja and A. Suthan
Synopsis:
Object identification plays a critical role in security inspection such as luggage, parcel and cargo inspection against object detection under a risky environment. This system automates this process by analyzing scanned the luggage or parcel images. For analyzing the image for object identification it uses edge and structure information of the object. This system uses reference object model which is represented using Prevailing Color Structure Descriptor(PCSD) for identifying object from scanned color images. The Prevailing Color Structure Descriptor(PCSD) is based on RGB-SIFT descriptor which is invariant in various lighting conditions and different orientation of object. This research scheme gives the high end processing in the field of Object Recognition because this technique focuses on RGB SIFT along with an Image Segmentation Scheme. In this method for recognizing the object both color and structure properties of object used, for representing the object geometric transformation as well as color information used. So this object identification robust, accurate and invariant against lighting condition and affine transformation. This would be more helpful for object detection in Airport and Defense Environment. This type recognition will support both Color and Gray Scale in all formats like JPG, BMP and GIF. In this FOD is tested against several images and its results are marked. This gives 91.22% average precision accuracy of detecting objects.
Year:2015
Issue:Mar-May
Title:Intelligent and Fast Object Detection [FOD] Using Object Properties
Author Name:D. Sasireka, D. Jeyabharathi, D. Kesavaraja and A. Suthan
Synopsis:
Object identification plays a critical role in security inspection such as luggage, parcel and cargo inspection against object detection under a risky environment. This system automates this process by analyzing scanned the luggage or parcel images. For analyzing the image for object identification it uses edge and structure information of the object. This system uses reference object model which is represented using Prevailing Color Structure Descriptor(PCSD) for identifying object from scanned color images. The Prevailing Color Structure Descriptor(PCSD) is based on RGB-SIFT descriptor which is invariant in various lighting conditions and different orientation of object. This research scheme gives the high end processing in the field of Object Recognition because this technique focuses on RGB SIFT along with an Image Segmentation Scheme. In this method for recognizing the object both color and structure properties of object used, for representing the object geometric transformation as well as color information used. So this object identification robust, accurate and invariant against lighting condition and affine transformation. This would be more helpful for object detection in Airport and Defense Environment. This type recognition will support both Color and Gray Scale in all formats like JPG, BMP and GIF. In this FOD is tested against several images and its results are marked. This gives 91.22% average precision accuracy of detecting objects.
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