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@article{146618,
        author = {Divyansh Rao and Vishal Singh and Karan Yadav and Saloni Shah},
        title = {Automated Surveillance System },
        journal = {International Journal of Innovative Research in Technology},
        year = {},
        volume = {5},
        number = {1},
        pages = {527-529},
        issn = {2349-6002},
        url = {https://ijirt.org/article?manuscript=146618},
        abstract = {The real-time CCTV body detection has been made possible by using the method of Viola jones, blob Analysis work. The software first taking CCTV Video of all the authorized persons and stores the information into database. Proposed work deals with automated system to detect and classify the body using Sparse Finger classification (SFC) algorithm. The methodology comprised of three phases, first take video and convert it into frames. Next apply blob analysis for the purpose of Body Detection from CCTV Video, third apply SFC for the purpose of classification. The most useful and unique features of the CCTV video are extracted in the feature extraction phase using LBP. In the classification the CCTV Video is compared with the images from the database. In our research work, we empirically evaluate body recognition which considers both shape and texture information to represent body capture based on Sparse Finger classification (SFC) for person independent body recognition. The body area is first divided into small regions from which SFC, histograms are extracted and concatenated into a single feature vector. This feature vector forms an efficient representation of the body and is used to measure similarities between CCTV Video.  In third phase and blob Analysis has been created and trained according to the features extracted from the CCTV Video. Trained classifier classifies the types of according to their features.},
        keywords = {Face Recognition, Principal Component Analysis, Voice Conversion, ANN etc},
        month = {},
        }