Object detection in surveillance videos

Biswal, A (2014) Object detection in surveillance videos. MTech thesis.



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.

Item Type:Thesis (MTech)
Uncontrolled Keywords:HSV color space, optical flow, object detection, shadow suppression.
Subjects:Engineering and Technology > Computer and Information Science > Image Processing
Divisions: Engineering and Technology > Department of Computer Science
ID Code:6254
Deposited By:Hemanta Biswal
Deposited On:08 Sep 2014 14:50
Last Modified:08 Sep 2014 14:50
Supervisor(s):Majhi, B

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