Abstracted/ Indexed in: CNKI Scholar (China National Knowledge Infrastructure), Ulrich's International Periodical Directory, Google Scholar, SCIRUS, Genamics JournalSeek
Quarterly published "Inventi Rapid: Image & Video Processing" publishes high quality unpublished, as well as high impact pre-published research and reviews related to graphical tools to visualize, manipulate and process images and videos. The journal includes medical imaging besides many other application areas.
Now days, Surveillance Cameras are used everywhere from home to public and commercial places mainly for purposes like security and monitoring. This project is an application for automatic face detection and tracking in Real Time Video streams from surveillance cameras. The work has been done with web cameras in Open Source platform of 32 bit OpenCV2.4.13 with Python 2.7.8 on 64 bit Windows7. The algorithm uses Haar Feature based Cascade Classifier to extract Haar like features developed from the algorithm proposed by Viola-Jones. Here, the purpose is to count the attendance of students in regular classroom and in examination hall as well as to identify the person present in the video and to decide whether the person belongs to the database or not. The project developed here also shows the details of the person present in video from surveillance camera. We generated the database using the advanced version of mysql that is sqlite3.1.1. Here we have generated database of 4 to 5 persons and it can be extended for many. This project can be extended for smart screens in smart classrooms, offices, institutions etc....
Video authentication is a process to establish the fidelity of a digital video. A video authentication system ensures the integrity of digital video and verifies that the video taken into use has not been doctored. In digital watermarking, customized data is embedded in a digital content like an image, video and audio for digital right management, copy control or authentication. For authentication, fragile or semi-fragile watermarks are usually used, where the authentication systems reject any modification made to a digital content. Mainly video watermarking techniques are divided into two types: frequency domain and spatial domain. The idea is to authenticate the digital data by adding watermarking information and extract it back successfully for verification purpose. In commercial video processing systems, watermark embedding and detection need to be performed in real time. For still pictures, detection of the robust watermark can take as long as a few seconds, but this delay is unacceptable for motion pictures especially when the frame rate is fast....
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