Abstract: In this paper we present a new method for detecting and classifying moving objects into humans and vehicles from a video surveillance scene. In this approach, the moving objects are firstly detected from the background using a background subtraction technique. Background subtraction algorithms are implemented in a MATLAB environment. A comparison for all the algorithms was made to determine which background subtractionalgorithm performs better with the proposed classifying algorithm. The algorithms were then tested using more than a video and many frames of the video was tested. Secondly, edge detection of moving objects was performed using Canny or Prewitt operations, while bounding boxes were implemented over the moving objects. Edge detection and bounding boxes were used before the classification step to simplify the classification.Finally, classifying the moving object into humans and vehicles was accomplished by finding the height-width ratio of the bounding box around the moving

• Publication Date: 05-Jan-2014
• DOI: 10.15224/978-981-07-8859-9-23
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Abstract: HTML5 is not a new version of the existing mark-up language, but a new paradigm for developing web and mobile applications where various new concepts are introduced to improve compatibility and usability. Web-Storage is the one of new features in HTML5 that enables effective client-side storage and retrieval of the frequently used data. However, it has significant security problems which need to solve for providing safe web and mobile environment. Currently, there is lack of analysis and research to detect and prevent attacks on web storage and this can causes critical security threats to web and mobile application developed using HTML5. In this paper, we are going to practically study and analyze possible attacks on web storage as a first step towards ensuring the safety of web and mobile applications based on HTML5.

• Publication Date: 05-Jan-2014
• DOI: 10.15224/978-981-07-8859-9-24
• Views: 0
• Downloads: 0