REVIEWING COMPUTER VISION BASED METHODS FOR CROWD LOCALIZATION

Anshit ., Pawan Kumar, Dr. Deepak Goyal, Dr. Pankaj Gupta, Monika Goyal

Abstract


A laptop imaginative and prescient method is broadly used to lessen a quantity of records produced via visible surveillance device. For instance the only software is to filter out all the video sequences which do now not contain any motion. Such a simple filtering can dramatically decrease the number of video streams, which needs to be watched, especially at times with much less visitors which includes night time hours. Other more sophisticated methods including human beings tracking, detection of deserted luggage unusual conduct detection and those counting can help to enhance the scenario for protection employees and guide their selections to improve the protection on public locations. Over the years, technology has been used to help protection officers: in recent times, numerous lively cameras are installed in the venues and the control room of a football stadium is generally full of monitors and camera controls. This actually permits security workforce to research every part of the venue, outside and inside, so that the whole crowd may be found. However, the large quantity of information supplied by way of such surveillance structures might require several operators to be absolutely analyzed, leading to very high expenses. On the other hand, if simply one or two humans are dedicated to the task of reading video streams provided through all cameras, they'll in all likelihood miss numerous conditions of interest. To deal with this trouble, a system able to studying a couple of video streams and automatically detecting situations that require human intervention might be extraordinarily powerful. On such situation computer imaginative and prescient method may be very useful to reduce the information and generate high level of beneficial information. This Paper is set various works being accomplished in Crowd Localization in Computer vision gadget.

Keywords


Computer Vision, Crowd Localization, Visual Surveillance

Full Text:

PDF

Refbacks

  • There are currently no refbacks.


Subscribe to Print Journals

 IJAIKD is currently Indexed By   


 http://rgjournals.com/public/site/images/mittalberi/scholar_logo_lg_2011.gif  Journal Seek