Novel Approach for detection of objects in surveillance videos - Softcover

Thottempudi, Pardhu

 
9786202092616: Novel Approach for detection of objects in surveillance videos

Synopsis

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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About the Author

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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