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Author Biswal, A.
Researcher Biswal, A.
Source NIT Rourkela-Thesis
Content type Text
Educational Degree Master of Technology (M.Tech.)
File Format PDF
Language English
Subject Domain (in DDC) Computer science, information & general works ♦ Special computer methods ♦ Technology ♦ Engineering & allied operations
Subject Keyword Image Processing
Abstract In this thesis, a novel scheme for object detection in complex background scenes has been proposed.The input videos used have fixed backgrounds and static cameras. Initially median of few frames is evaluated for obtaining a proper estimate of the background.Local threshold based background subtraction is done for extracting objects from the video sequence.During sudden illumination changes, optical flow analysis is used for motion segmentation.It is assumed that during photometric distortions, the object is in motion.Subsequently shadow detection and suppression is done to the resulting thresholded image. Hue Saturation Value(HSV) color space model is used for shadow suppression.Visual measures convey the performance of the algorithm.
Education Level UG and PG
Learning Resource Type Thesis
Publisher Date 2014-01-01