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 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.
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Pardhu completed B.Tech in the stream of ECE in 2011 from MLR Institute of Technology. He has done his M.Tech from Vignan’s University and Perusing his Ph.D from VIT University, Vellore His major fields of interests include RADAR signal Processing, Video, Image Processing. He is working as Assistant Professor in ECE in MLR Institute of Technology
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Taschenbuch. Zustand: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -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. 64 pp. Englisch. Bestandsnummer des Verkäufers 9786202092616
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Taschenbuch. Zustand: Neu. This item is printed on demand - Print on Demand Titel. Neuware -In this work, a novel scheme for object detection in complex background scenes has been proposed.The input videos used have ¿xed 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.VDM Verlag, Dudweiler Landstraße 99, 66123 Saarbrücken 64 pp. Englisch. Bestandsnummer des Verkäufers 9786202092616
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Taschenbuch. Zustand: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - 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. Bestandsnummer des Verkäufers 9786202092616
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Taschenbuch. Zustand: Neu. Novel Approach for detection of objects in surveillance videos | Pardhu Thottempudi | Taschenbuch | 64 S. | Englisch | 2017 | LAP LAMBERT Academic Publishing | EAN 9786202092616 | Verantwortliche Person für die EU: preigu GmbH & Co. KG, Lengericher Landstr. 19, 49078 Osnabrück, mail[at]preigu[dot]de | Anbieter: preigu. Bestandsnummer des Verkäufers 110808770
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