Novel Approach for detection of objects in surveillance videos - Thottempudi, Pardhu
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In this work, 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 ow 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…mehr

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Produktbeschreibung
In this work, 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 ow 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.
Autorenporträt
Thottempudi Pardhu schloss 2011 sein B.Tech-Studium in ECE am MLRIT und 2013 sein M.Tech-Studium in Embedded Systems an der Vignan University ab und promovierte an der VIT University in RADAR SIGNAL Processing. 20 internationale Arbeiten hat er in renommierten Zeitschriften und Konferenzen veröffentlicht und arbeitet jetzt als Assistenzprofessor im Fachbereich ECE am St. Peters Engg College in Hyderabad.