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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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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 helping in findind and doing semister projects succesfuully thanx to that nature..................[:=> 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 pp..................[:=> 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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then ensured by a matching procedure at every time instant. Differential methods are based on the optical flow computation, i.e. on the apparent motion in image sequences, under some regularization assumptions. The third class uses correlation to measure interimage displacements. Selection of a particular approach 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 particular problems in the field. The basic objective of this discussion is to un..................[:=> 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
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ene and compare it to a database full of stored images. In order for this software to work, it has to know what a basic face looks like. Facial recognition software is designed to pinpoint a face and measure its features. Each face has certain distinguishable landmarks, which make up the different facial features. These landmarks are referred to as nodal points. There are about 80 nodal points on a human face. Here are a few of the nodal points that are measured by the software:

Distance between eyes
Width of nose
Depth of eye sockets
Cheekbones
Jaw line
Chin

These ..................[:=> 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 entity..................[:=> 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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ion suffers from motion status change of objects. Autonomous alpha adapting methods need to be developed for minimizing user interactions. Segmentation logic has its on disadvantages as a top down method. Incorporation of continues motion information for further meaningful segmentation can be tried as a future work. Different data association methods can further improve the segmentation and object detection.
REFERENCES
Benjamin Deutsch. et al, 2005, A Comparative Evaluation of Template and Histogram Based 2D Tracking Algorithms.
DAGM-Symposium pp. 269-276. Burt, P. et al, 1989, ..................[:=> 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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ons for face recognition technology:
10.1 Government Use a. Law Enforcement: Minimizing victim trauma by narrowing mugshot searches, verifying
Identify for court records, and comparing school surveillance camera images to know child molesters.
b. Security/Counterterrorism. Access control, comparing surveillance images to Know terrorist.
c. Immigration: Rapid progression through Customs.
10.2 Commercial Use
a. Day Care: Verify identity of individuals picking up the children.
b. Residential Security: Alert homeowners of approaching personnel
c. Voter verification: Where eligible..................[:=> 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
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s its own application.

Principal Component Analysis (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..................[:=> Show Contents <=:]



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