Browsing by Author "Syed Farooq Ali"

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    Human fall detection
    (3rd International Conference UMT, Lahore, 2013) Syed Farooq Ali; Alizaa Fatima; Noman Nazar; Muhammad Muaz; Fatima Idrees
    Fall-induced injuries are common in the elderly population. Delay or lack of medical care after the occurrence of a fall often results in injuries, sometimes severe, and can also lead to death in some cases. Falls, therefore, are critical occurrences for the elderly. Detecting falls automatically, as they occur, can lead to better timed medical care which can in turn reduce the subsequent medical complications. In this paper we describe an effective fall detection system based on videos dataset generated using multiple cameras. Approach proposed in this paper outperforms in accuracy as compared to the other existing approach. It uses several images descriptors or features which are fed to a number of classifiers to detect falls.
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    Video summarization sports highlights generation
    (University of Engineering and Technology, Lahore 54890, Pakistan., 2013) Muhammad Ehsan Anjum; Syed Farooq Ali; Tahir Hassan; Muhammad Adnan
    The mechanism to recognize highlights from videos is basic and fundamental problem for indexing and retrieval applications. In this paper we propose techniques to generate sports highlights from cricket video using techniques of optical character recognition. First the score bar is extracted from the frames then the character recognition techniques are used to extract information for events like sixes, fours and wickets. A short video summary is synthesized that includes the frames for the aforementioned significant events termed as Highlights. The process of sports highlights generation is automated resulting in a condensed summary for the viewer that reduces the time and space requirements.