Object-based Coding for Surveillance Video Using Bi-directional Spatio-Temporal Tracking of Motion Fragments

Abstract

We propose an video coding techniques which enables efficient long-term archiving of surveillance video. MPEG-4 shape coding is one of the way which can achieve significant increase in storage capacity, although, automatic segmentation is very difficult. False positive error reduces the compression rate and false positive spoils the image quality. In this paper, we improve the intruder detection and segmentation system in, reducing low-false alarm, repairing the shape of the segment and interpolating the segment in temporal-manner. Experimental result showed that our object coding achieved in high compression rate 15% compared with standard MPEG-4 MC+DCT and low false negative rate in less than 1%.