A Moving Object Segmentation in MPEG Compressed Domain Based on Motion Vectors and DCT Coefficients

2008 ◽  
Author(s):  
Long Liu ◽  
Xingle Feng ◽  
Ruirui Ji ◽  
Yi Deng
Keyword(s):  
Object Segmentation ◽  
Moving Object ◽  
Compressed Domain ◽  
Motion Vectors ◽  
Moving Object Segmentation ◽  
Dct Coefficients

Particle Swarm Clustering-Based Moving Object Segmentation in the H.264 Compressed Domain

2012 ◽  
Vol 433-440 ◽  
pp. 4841-4844
Author(s):  
Pei Wang ◽  
Jing Wang
Keyword(s):  
Clustering Algorithm ◽  
Moving Objects ◽  
Object Segmentation ◽  
Median Filter ◽  
Particle Swarm ◽  
Moving Object ◽  
Compressed Domain ◽  
Motion Vectors ◽  
Moving Object Segmentation ◽  
Vector Median

An approach of the moving object segmentation is proposed in this paper. Firstly the motion fields are extracted from the compressed stream, where the noise and the unreal motion blocks are removed by vector median filter. Then the motion vectors are accumulated by motion estimation, in order to get denser and prominent motion vectors. Finally the moving objects are segmented adaptively by particle swarm clustering algorithm. It is demonstrated by the experimental results that the moving objects in the compressed domain can be segmented effectively.

MOVING CAMERA MOVING OBJECT SEGMENTATION IN COMPRESSED VIDEO SEQUENCES

2009 ◽  
Vol 09 (04) ◽  
pp. 609-627 ◽  
Author(s):  
J. WANG ◽  
N. V. PATEL ◽  
W. I. GROSKY ◽  
F. FOTOUHI
Keyword(s):  
Motion Detection ◽  
Object Segmentation ◽  
Object Motion ◽  
Moving Object ◽  
Transformation Model ◽  
Video Sequences ◽  
Compressed Domain ◽  
Camera Motion ◽  
Consistency Check ◽  
Moving Object Segmentation

In this paper, we address the problem of camera and object motion detection in the compressed domain. The estimation of camera motion and the moving object segmentation have been widely stated in a variety of context for video analysis, due to their capabilities of providing essential clues for interpreting the high-level semantics of video sequences. A novel compressed domain motion estimation and segmentation scheme is presented and applied in this paper. MPEG-2 compressed domain information, namely Motion Vectors (MV) and Discrete Cosine Transform (DCT) coefficients, is filtered and manipulated to obtain a dense and reliable Motion Vector Field (MVF) over consecutive frames. An iterative segmentation scheme based upon the generalized affine transformation model is exploited to effect the global camera motion detection. The foreground spatiotemporal objects are separated from the background using the temporal consistency check to the output of the iterative segmentation. This consistency check process can coalesce the resulting foreground blocks and weed out unqualified blocks. Illustrative examples are provided to demonstrate the efficacy of the proposed approach.

Moving Object Segmentation Based on Fusion-PCNN in Compressed Domain

2012 ◽  
Vol 41 (8) ◽  
pp. 914-921
Author(s):  
王慧斌 WANG Hui-bin ◽  
沈俊雷 SHEN Jun-lei ◽  
王鑫 WANG Xin ◽  
张丽丽 ZHANG Li-li
Keyword(s):  
Object Segmentation ◽  
Moving Object ◽  
Compressed Domain ◽  
Moving Object Segmentation

scholarly journals Real-time moving object segmentation in H.264 compressed domain based on approximate reasoning

2009 ◽  
Vol 51 (1) ◽  
pp. 99-114 ◽  
Author(s):  
C. Solana-Cipres ◽  
G. Fernandez-Escribano ◽  
L. Rodriguez-Benitez ◽  
J. Moreno-Garcia ◽  
L. Jimenez-Linares
Keyword(s):  
Real Time ◽  
Object Segmentation ◽  
Moving Object ◽  
Approximate Reasoning ◽  
Compressed Domain ◽  
Moving Object Segmentation
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