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Retrieving Unrecognized Objects from HSV into JPEG Video at various Light Resolutions

Author(s): T. Arumuga Maria Devi | Nallaperumal Krishnan | K.K Sherin

Journal: International Journal of Computer Science and Information Security
ISSN 1947-5500

Volume: 9;
Issue: 10;
Start page: 152;
Date: 2011;
Original page

Keywords: Anomaly suspect | mean shift algorithms | spectral detection

This paper deals mainly with the performance study and analysis of image retrieval techniques for retrieving unrecognized objects from an image using Hyper spectral camera at low light resolution. Since the identification of moving object in a camera is not possible in a low light environment as the object has low reflectance due to lack of lights. Using Hyper spectral data cubes, each object can be identified on the basis of object luminosity. Moving object can be identified by identifying the variation in frame value. The main work identified are that efficient retrieval of unrecognized objects in an image will be made possible using Hyper spectral analysis and various other methods such as Estimation of Reflectance, Feature and mean shift tracker, Traced feature located on image, Band pass filter (Background removal) etc. These methods used above to retrieve unrecognized object from a low light resolution are found to be more efficient in comparison with the other image retrieval techniques.
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