Title :
A Simple and Fast Moving Object Segmentation Based on H.264 Compressed Domain Information
Author :
Sun, Le ; Dai, Ming ; Chen, Xiaolu
Author_Institution :
Changchun Inst. of Opt., Fine Mech. & Phys., Changchun, China
Abstract :
The paper presents a simple and fast approach for moving object segmentation based on H.264 compressed domain information for the application of indoor video surveillance with static camera. Due to the characteristics of indoor video surveillance, the proposed method of segmentation avoids complicated background model like Gaussian Mixture background model. On the contrary, it chooses some simple information like the type of Macroblock, etc.. Experimental results of several specific H.264 compressed video sequences demonstrate the good segmentation quality of the proposed approach.
Keywords :
image segmentation; image sequences; video coding; video surveillance; H.264 compressed domain information; fast moving object segmentation; indoor video surveillance; macroblock; static camera; video sequences; Cameras; Image segmentation; Motion segmentation; Object segmentation; Streaming media; Video sequences; Video surveillance; H.264; Moving object segmentation; Type of Macroblock;
Conference_Titel :
Computational and Information Sciences (ICCIS), 2012 Fourth International Conference on
Conference_Location :
Chongqing
Print_ISBN :
978-1-4673-2406-9
DOI :
10.1109/ICCIS.2012.45
