Browsing by Author "Noman Nazar"

Now showing 1 - 2 of 2
  • Thumbnail Image
    Item
    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.
  • Thumbnail Image
    Item
    Video Summarization: Human Fall Detection
    (University of Management and Technology, 2014) Farooq Ali; Noman Nazar
    This project of advanced security system consists of two CCTV cameras mounted in each side of the room in order to monitor every movement of the subject. Which are then connected with a system/computer which displays live video from the room. In case of any fall the system automatically detects it and displays it on the system that a fall has occurred. To achieve this purpose different algorithms are being implemented on the video feeds received from the CCTV cameras installed in the room. Which will be discussed further later on in this report.