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background subtractionsegmentation in opencv using gaussian mixtures


Posted by: maroom
Created at: Wednesday 01st of September 2010 01:01:58 PM
Last Edited Or Replied at :Wednesday 01st of September 2010 01:01:58 PM
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Hai folks

Can anyone please provide the project -> background subtraction in opencv using gaussian mixtures project ... i have surfed on net to know about it ...................[:=> Show Contents <=:]



Digital Image Processing Techniques for the Detection and Removal of Cracks in Digiti


Posted by: hemanthsa
Created at: Monday 23rd of November 2009 10:40:57 PM
Last Edited Or Replied at :Tuesday 24th of November 2009 04:51:42 AM
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pls send me Report and ppt of the a..................[:=> Show Contents <=:]



Object tracking in video scenes


Posted by: computer science crazy
Created at: Friday 23rd of October 2009 05:39:07 AM
Last Edited Or Replied at :Saturday 06th of October 2012 01:06:29 AM
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hods employed by various researchers to solve particular problems in the field. The basic objective of this discussion is to understand what object tracking is and what are the fundamental operations involved in the process of tracking...................[:=> Show Contents <=:]



Face Recognition Technology


Posted by: computer science crazy
Created at: Sunday 21st of September 2008 11:04:34 PM
Last Edited Or Replied at :Friday 19th of February 2010 09:44:04 PM
face recognition by elastic bunch graph matching, face recognition based on image sets , face recognition brain, face recognition and schizophrenia , face recognition and gender, face recognition application , android face recognition example, opencv face recognition example , face recognition ebook, face recognition essay , face recognition example, face recognition engine , face recognition experiments, face recognition eigenfaces , face recognition eyes, face recognition emotion , face recognition advertising, face r , face recognition technology seminar report,
ill or video images has attracted a great deal of attention in the psychology, image processing, pattern recognition, neural science, computer security, and computer vision communities. Face recognition is probably one of the most non-intrusive and user-friendly biometric authentication methods currently available; a screensaver equipped with face recognition technology can automatically unlock the screen whenever the authorized user approaches the computer.

Face is an important part of who we are and how people identify us. It is arguably a person's most unique physical characteristic. Whi..................[:=> Show Contents <=:]



BLOB


Posted by: computer science crazy
Created at: Thursday 13th of August 2009 06:40:33 AM
Last Edited Or Replied at :Thursday 12th of August 2010 11:36:21 AM
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BLOB. : Blob is the abbreviation for binary large object, a collection of binary data stored as a single ..................[:=> Show Contents <=:]



MOTION SEGMENTATION AND MEANSHIFT ASSISTED CONTOUR REFINEMENT FOR AIRBORNE VIDEO


Posted by: Computer Science Clay
Created at: Saturday 13th of June 2009 11:09:40 PM
Last Edited Or Replied at :Saturday 13th of June 2009 11:09:40 PM
motion segmentation matlab , motion segmentation opencv, motion segmentation and pose recognition with motion history gradients , motion segmentation and tracking, motion segmentation algorithm , motion segmentation and estimation, two view motion segmentation from linear programming relaxation , fast image motion segmentation for surveillance applications, motion segmentation fault , motion segmentation based, motion segmentation code , motion segmentation by subspace separation and model selection, motion segme , mean shift segmentation ppt, report on video motion interpolation , motion segmentation differential methods opencv code,
as 3 or 5. According to the range of
t I background, components are updated. The component with high evidence and low variance is selected for subtraction and thresholded to extract foreground. Here the memory requirements are limited but it takes more computation time. This background model is only applicable when the camera movement is negligible. On the other hand the double difference method suggested by Kameda (1996) gives poor results on slow moving and low textured objects due to foreground aperture problem as shown in figure 1. In this method thresholded difference between frames..................[:=> Show Contents <=:]



FACE RECOGNITION TECHNOLOGY A SEMINAR REPORT


Posted by: Computer Science Clay
Created at: Saturday 13th of June 2009 10:46:16 PM
Last Edited Or Replied at :Monday 14th of January 2013 01:37:23 AM
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ntire target area. The deflecting coils are fed seperately from two sweep oscillators, each operating at different frequencies. The magnetic deflection caused by current in one coil gives horizontal motion to the beam from left to right at a uniform rate and brings it back to the left side to commence the trace of the next line. The other coil is used to deflect the beam from top to bottom.
As the beam moves from element to element it encounters different resistance across the target plate depending on the resistance of the photoconductive coating. The result is flow of current which va..................[:=> Show Contents <=:]



Face Recognition using the Techniques Base on Principal Component Analysis PCA


Posted by: Computer Science Clay
Created at: Saturday 28th of February 2009 11:15:52 PM
Last Edited Or Replied at :Saturday 28th of February 2009 11:15:52 PM
Analysis , Component, Principal , Base, face recognition by independent component analysis , face recognition background, face recognition beta , face recognition by elastic bunch graph matching, face recognition basics , face recognition based, face recognition books , face recognition brain, face recognition baby , face recognition biometrics, android face recognition example , picasa face recognition exif, opencv face recognition example , face recognition expert, face recognition example , face recognition ebook, face re , ppt for face recognition using pca, face recognition using pca technique ,
(PCA) has been variously used in pattern recognition applications, especially in face recognition field. In this seminars, several techniques based on standard PCA, Fisher Linear Discriminant (FLD), Face Specific Subspace (FSS) will be discussed. We will review the developed idea used in the 2D-PCA method and its application on the FSS approach.

For the experimental results, several tests have been performed over on three face image databases: ORL, Yale, and UMIST;

The approaches will be illustrated using a web-based face recognition program. The architecture and techniques used in the d..................[:=> Show Contents <=:]



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