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Continuous frame target detection deduplication method and device

A target detection, continuous frame technology, applied in instruments, character and pattern recognition, computer parts and other directions, can solve the problems of less repeated areas, more areas for target detection calculation, and increased calculation volume.

Active Publication Date: 2021-07-06
SUN YAT SEN UNIV
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Problems solved by technology

[0005] The embodiment of the present application provides a method and device for continuous frame target detection and deduplication, which solves the problem that the existing search algorithm can search for less repetitive areas when there are many changing objects in the scene, which leads to subsequent use in target detection. The technical problem of increasing the area of ​​calculation and increasing the amount of calculation

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  • Continuous frame target detection deduplication method and device
  • Continuous frame target detection deduplication method and device

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Embodiment Construction

[0053] In order to enable those skilled in the art to better understand the solution of the present application, the technical solution in the embodiment of the application will be clearly and completely described below in conjunction with the accompanying drawings in the embodiment of the application. Obviously, the described embodiment is only It is a part of the embodiments of this application, not all of them. Based on the embodiments in this application, all other embodiments obtained by persons of ordinary skill in the art without making creative efforts belong to the scope of protection of this application.

[0054] figure 1 A method flowchart of an embodiment of a continuous frame target detection and deduplication method of the present application, such as figure 1 as shown, figure 1 Including:

[0055] 101. Obtain continuous video frames;

[0056] It should be noted that the present application can acquire continuous video frames from the image acquisition device...

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Abstract

The invention discloses a continuous frame target detection deduplication method and device. The method comprises the following steps: acquiring continuous video frames; partitioning the image into blocks; searching a matching block with the minimum error value with the current frame image block in the previous frame image, and acquiring a displacement vector from the matching block to the current frame image block; classifying the displacement vectors, and calculating an average displacement vector in each class; searching a matching block corresponding to the current frame image block according to the average displacement vector; marking the current frame image block corresponding to the PSNR value greater than a preset threshold value as a reusable area; taking the target detection result of the previous frame of image as a to-be-searched image area, and searching a matching area with the minimum error value with the to-be-searched image block in the current frame; and taking the matching region and the reusable region as a repetitive region of the current frame in the previous frame of image, so that the repetitive region is not calculated when target detection is performed on the current frame. The technical problems that in the prior art, the number of calculation areas is large, and the calculation amount is increased during target detection are solved.

Description

technical field [0001] The present application relates to the technical field of object detection, and in particular to a method and device for detecting and deduplicating objects in consecutive frames. Background technique [0002] With the widespread use of a large number of mobile devices and wearable devices, continuous video detection tasks such as road vehicle detection and monitoring, pedestrian counting, cognitive assistance, lifestyle monitoring, street navigation, etc. mainly use deep learning target detection technology. [0003] However, in the existing target detection technology, the network model has a problem of large amount of calculation, and it is impossible to directly put the network model on the mobile device for direct calculation. The repeated results of one frame are carried forward to the detection of the next frame, thereby reducing the number of areas that need to be detected and calculated in the next frame. The crux of the problem is how to sea...

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Application Information

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IPC IPC(8): G06K9/00G06K9/62
CPCG06V20/41G06V20/48G06F18/23213G06F18/2411
Inventor 余德亮谭光
Owner SUN YAT SEN UNIV
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