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Real time method for segmenting motion object based on H.264 compression domain

A technology of moving objects and compressed domains, which is applied in television, electrical components, digital video signal modification, etc., and can solve the problems of low segmentation accuracy and large amount of calculation

Inactive Publication Date: 2007-05-09
SHANGHAI UNIV
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Problems solved by technology

However, this method is only suitable for video sequences with static backgrounds, and the accuracy of segmentation is not high, and the amount of calculation is also large

Method used

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  • Real time method for segmenting motion object based on H.264 compression domain
  • Real time method for segmenting motion object based on H.264 compression domain
  • Real time method for segmenting motion object based on H.264 compression domain

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Embodiment Construction

[0057] An implementation example of the present invention is described in detail as follows in conjunction with accompanying drawing:

[0058] The H.264 compressed domain moving object real-time segmentation method based on the matching matrix of the present invention is according to the program block diagram shown in Figure 1, and is programmed on a PC test platform with a CPU of 3.0GHz and a memory of 512M. Figure 5 and Figure 6 show the simulation test result.

[0059] Referring to Fig. 1, the H.264 compressed domain moving object real-time segmentation method based on the matching matrix of the present invention enhances significant motion information through the normalization and accumulation of the motion vector field, and then performs global motion compensation on the accumulated motion vector field, using Statistical region growing algorithm and moving object segmentation method based on matching matrix are used to segment regions and moving objects, which have the ch...

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Abstract

In the invention, the only information depended on by the segmentation is the motion vector field based on 4*4 block uniform sampling and extracted from the H.264 video signals. In the first, the normalization is made for the motion vector field of continuous multi frames, and the iteration back-projection is made for the motion vector field in order to get the accumulated motion vector field used for enhancing the salient motion vector; then, making global motion compensation for the accumulated motion vector field, and meanwhile using fast region-growing algorithm to segment it into multi regions according to motion similarity. By the invention, a computer with 3.0 GHz CPU main frequency and 512M memory can smoothly process the CIF format video sequence and play video stream in 25 fps with good segmentation quality. The invention can also be used in motion object segmentation of MPEF compressed domain.

Description

technical field [0001] The present invention relates to a real-time segmentation method of moving objects based on H.264 compressed domain, especially different from the existing method, it avoids the complete decoding of compressed video, and only the motion vector extracted by entropy decoding is used for segmentation required motion features, so the amount of computation is greatly reduced. Moreover, it is not limited to video sequences with static backgrounds. For video sequences with moving backgrounds or static backgrounds, it can quickly and reliably segment moving objects. Since this method only uses the information of the motion vector field, it is also applicable to the segmentation of moving objects in the MPEG compression domain. Background technique [0002] Moving object segmentation is a prerequisite for many content-based multimedia applications such as video indexing and retrieval, intelligent video surveillance, video editing, and face recognition. Since ...

Claims

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Application Information

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IPC IPC(8): H04N7/26H04N19/126H04N19/156H04N19/157H04N19/176H04N19/513H04N19/527
Inventor 刘志张兆杨陆宇
Owner SHANGHAI UNIV
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