A Simple and Fast Moving Object Segmentation Based on H.264 Compressed Domain Information
Le Sun, Ming Dai, Xiaolu Chen · 2012
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.