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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 ... you all are helpi..................[:=> 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 t..................[:=> 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
object tracking algorithm , object tracking a survey, multiple 3d object tracking for augmented reality , opencv object tracking example, rfid personal object tracking device , multiple object tracking demo, object tracking definition , object tracking database, object tracking dataset , object tracking device, matlab object tracking code , enhanced object tracking cisco, multiple object tracking code , object tracking code, object tracking computer vision , object tracking cisco, object tracking camera , Object tracking, classes and methods , download code for tracking object from video, optical flow based object tracking , seminar object tracking video scenes, object tracking ,
largely depends on the domain of the problem. The seminars takes a brief overview of important steps in object tracking. It also takes a look at certain methods employed by various researchers to solve part..................[:=> 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,
, it is detected within a fraction of a second. A multi-scale algorithm is used to search for faces in low resolution. The system switches to a high-resolution search only after a head-like shape is detected.
2. Alignment - Once a face is detected, the system determines the head's position, size and pose. A face needs to be turned at least 35 degrees toward the camera for the system to register it.
3. Normalization -The image of the head is scaled and rotated so that it can be registered and mapped into an appropriate size and pose. Normalization is performed regardless of the head's locat..................[:=> 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 bina..................[:=> 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
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l is reasonable for characterizing the pixel intensity variation. In such cases, the effective overlap of frames allows a good model to evolve over time. Here, in airborne video, the camera motion prevents the stacking of registered frames for enough duration. In Mixture of Gaussian model, each pixel is modeled separately (Chris, 1999) by a mixture of K Gaussians:
) , µ; ?(I ? ) p(I ti, ti, t K 1 i ti, t (2) Where K is usually predefined 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..................[:=> 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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idualâ„¢s identity. Biometrics can measure both physiological and behavioral characteristics. Physiological biometrics (based on measurements and data derived from direct measurement of a part of the human body) include:
a. Finger-scan
b. Facial Recognition
c. Iris-scan
d. Retina-scan
e. Hand-scan
Behavioral biometrics (based on measurements and data derived from an action) include:
a. Voice-scan
b. Signature-scan
c. Keystroke-scan
A biometric system refers to the integrated hardware and software used to conduct biometric
identification or verification.
1.2 Why w..................[:=> 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 ,
ver 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 development phase (Object Orientation Model / Dot Net Inter-o..................[:=> Show Contents <=:]



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