期刊名称：International Journal of Innovative Research in Science, Engineering and Technology
印刷版ISSN：2347-6710
电子版ISSN：2319-8753
出版年度：2015
卷号：4
期号：10
页码：10376
DOI：10.15680/IJIRSET.2015.0410109
出版社：S&S Publications
摘要：Recent increase in the video monitoring and surveillance has urged users to use video based applicationfor extracting content and video semantics from it. The Results of such video monitoring and surveillance can be usefulin various ways. Semantic analysis of videos has proven its worth in fields such as sports, national border security,suspicious activity monitoring along the LOC, etc. For fulfilling user’s requirement such as an expected outcome inless time period and proper result with minimum storage space, the raw data and low level feature of videos are notsufficient. Though manual technique can prove handy in this regards, they are inefficient costly and time consuming.Increased demand for the video-based applications has revealed the need for extracting the content in video. We requireautomated system which moderate can surveillance and gives us information about important events happening in thepremises. There are 3 layers of video data 1) Low level data (raw data) 2) Middle level data (content information) 3)High level Data (event information). The raw data contains the low level features of video like number of frames,length, pixel number, etc. these low level features are of very little or no importance to the user. The content,information consist information about object and occurrences of that object in video. The proposed system acceptsvideos as inputs which are divided into frames. Each frame is assigned to a particular number that gives event of framein specific image from input video. These frames can be used for finding the position and speed of objects. Framenumber plays the vital role in any video monitoring system.
