Face recognition and Matching in video for Movie Character Identification
Automatic face identification of characters in movies has drawn significant research interests and led to many interesting applications. Face Matching in Movie Character Identification 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 complex movie 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: Complex character changes are handled by simultaneously graph partition and graph matching. 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.
Face Matching in Movie Character
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.
- In the previous process the time taken for detecting face is too long in windows processed.
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.
- In the proposed process the time taken for detecting face in minimum (min) time only in windows processed.
HARDWARE & SOFTWARE REQUIREMENTS:
- System : Intel Dual core
- Hard Disk : 40 GB.
- Ram : 2 GB.
- Operating system : Windows XP Professional.
- Coding Language : C#.NET
- Data Base : SQL Server 2005