A Video Sequence Synchronization Method Based on Timing Information of Moving Objects
A technology of video sequences and moving objects, which is applied in the field of computer vision, can solve problems such as poor synchronization effect and inaccurate calculation of time deviation of two-way video sequences, and achieve the effect of improving synchronization effect, improving accuracy and accurate matching
Inactive Publication Date: 2019-08-20
UNIV OF ELECTRONICS SCI & TECH OF CHINA
View PDF4 Cites 0 Cited by
- Summary
- Abstract
- Description
- Claims
- Application Information
AI Technical Summary
Problems solved by technology
These methods often ignore the perspective differences in the space of the images captured by different cameras and the sequence correlation information of the images in time, resulting in inaccurate calculation of the time deviation of the two video sequences and poor synchronization.
Method used
the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
View moreImage
Smart Image Click on the blue labels to locate them in the text.
Smart ImageViewing Examples
Examples
Experimental program
Comparison scheme
Effect test
example
[0118] In this example, we use a binocular camera to shoot two video sequences with a certain time offset for testing. Among them, a section is used as a reference video sequence, the length M=122 frames, the sequence number is 1 to 122, and it is recorded as x 1 to x 122 . In another section, select a small segment of video sequence whose length is not less than one motion cycle of the moving target as the search video sequence, whose length L=16 frames, ordinal number is 35 to 50, denoted as t 35 to t 50 .
[0119] According to the above method, for finding the end frame t in the video sequence 50 , the extreme points we found in the reference video sequence correspond to x 11 ,x 27 ,x 42 ,x 58 ,x 73 ,x 89 ,x 105 ,x 120 , where x 11 The ordinal numbers are less than L=16 and are eliminated, that is, these frames are the end frames of the potential matching video sequence, and their contours are compared as Figure 8 shown.
[0120] Using the optimal regulariza...
the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to View More PUM
Login to View More Abstract
The invention discloses a video sequence synchronization method based on the timing information of a moving target. Firstly, the homography matrix between the video images captured by two cameras is calculated, and according to the matrix, the search video sequence is mapped to a reference video sequence plane, and the video sequence is carried out. The background subtraction process obtains the contour sequences of the moving objects in the two video sequences respectively, and then performs registration to obtain the matching video sequences, and performs screening to obtain a final matching video sequence, so that the time deviation is obtained for the synchronization of the video sequences. The invention introduces a homography matrix, maps the search video sequence to the reference video sequence plane, solves the problem of visual difference between video images, and improves the accuracy of video image similarity comparison; The sequence information above is used to match the video sequence, and the attitude change of the moving target is a suitable feature, which can be matched accurately, so as to further improve the accuracy of time deviation calculation, thereby improving its synchronization effect.
Description
technical field [0001] The invention belongs to the technical field of computer vision, and more specifically relates to a video sequence synchronization method based on timing information of a moving target. Background technique [0002] In the actual application of different cameras, such as binocular cameras, the videos captured by different cameras will have a certain degree of time deviation between the two videos due to reasons such as machine startup freezes and delays. In many wide-range scenarios, it is necessary to splicing the videos shot by binocular cameras, and then perform target tracking based on the spliced videos. If there is such a time deviation, it will affect the effect of video splicing and the accuracy of target tracking. cause greater impact. Therefore, it is of practical significance to study the synchronization of video sequences carried out by different cameras, that is, to find the same frame under two cameras, that is, to synchronize the vide...
Claims
the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to View More Application Information
Patent Timeline
Login to View More Patent Type & Authority Patents(China)
IPC IPC(8): G06T7/285G06T7/223G06T7/246
Inventor 周雪曹爽邹见效徐红兵
Owner UNIV OF ELECTRONICS SCI & TECH OF CHINA