Robust Face-Name Graph
Matching for Movie Character Identification
ABSTRACT:
Automatic face
identification of characters in movies has drawn significant research interests
and led to many interesting applications. It is a challenging problem due to
the huge variation in the appearance of each character. Although existing methods
demonstrate promising results in clean environment, the performances are
limited in complexmovie scenes due to the noises generated during the face
tracking and face clustering process. In this paper we present two schemes of
global face-name matching based framework for robust character identification.
The contributions of this work include the following. 1) A noise insensitive character
relationship representation is incorporated. 2)We introduce
an edit
operation based graph matching algorithm. 3) Complex character changes are
handled by simultaneously graph partition and graph matching. 4) Beyond
existing character identification approaches, we further perform an in-depth sensitivity
analysis by introducing two types of simulated noises. The proposed schemes
demonstrate state-of-the-art performance on movie character identification in
various genres of movies.
ARCHITECTURE:
EXISTING SYSTEM
In this project is used to detect the
face of movie characters and recognize the characters and the existing system
are taking the too much time to detect the face. But this one we can do it in a
minute process.
DISADVANTAGES OF EXITING SYSTEM:
In the previous process the time taken
for detecting face is too long in windows processed.
PROPOSED SYSTEM:
In this Robust Face-Name Graph Matching
for Movie Character Identification is used to detect the face of movie
characters and the Proposed system is taking the minimum time to detect the
face. In this one we can do it in a minute process.
ADVANTAGES OF PROPOSED SYSTEM:
In the proposed process the time taken
for detecting face in minimum (min) time only in windows processed.
MODULES:
1. Design & Authentication Module
2. Detection Module
3. Training Module
4. Recognition Module
MODULES DESCRIPTION:
1. Design & Authentication Module
In this module is going to explain the
Robust Face-Name Graph Matching for Movie Character Identification designing
and how we did the face detection and recognition in this project. The images
will explain about the facial fetching details. After that admin going to login
with the details which needed for the login page.
2. Detection
In this module we are going to detect
the face of the movie characters. In this module we are using the emgu cv
library we must install the emgu cv library. After installing the emgu cv lib
in our project we need to add reference with the name emgu.cv, emgu.cv.util,
emgu.cv.ui. When you will complete the references you will get the emgu
controls in the toolbox.
3. Training Module
In this module, we train the faces which
are detected in the earlier module. The user can train the system by adding the
names of the user. The name of the training data set in stored in image format
with the graph name.
4. Recognition
In this module we are going to recognize
the face of the movie characters which is we previously stored on the face
database. We just found that the give the real name of it. This is going to be
done here. Here we are using the With the help of these eigenObjectRecognizer
we are going to recognize the face.
HARDWARE
REQUIREMENTS
•
SYSTEM : Pentium IV 2.4 GHz
•
HARD
DISK : 40 GB
•
FLOPPY
DRIVE : 1.44 MB
•
MONITOR : 15 VGA colour
•
MOUSE : Logitech.
•
RAM : 256 MB
•
KEYBOARD :
110 keys enhanced.
SOFTWARE
REQUIREMENTS
•
Operating system :- Windows XP
Professional
•
Front End :- Microsoft Visual Studio .Net 2008
•
Coding Language : - C# .NET.
REFERENCE:
Jitao Sang and Changsheng Xu, Senior
Member, IEEE, “Robust Face-Name Graph Matching for Movie Character
Identification”, IEEE TRANSACTIONS ON
MULTIMEDIA, VOL. 14, NO. 3, JUNE 2012.
