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A method and device for continuous frame target detection and deduplication

A target detection, continuous frame technology, applied in the field of target detection, can solve the problems of increased calculation amount, increased area of ​​target detection calculation, and less repeated area.

Active Publication Date: 2022-05-17
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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  • A method and device for continuous frame target detection and deduplication
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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 present application discloses a continuous frame target detection and deduplication method and device, including: acquiring continuous video frames; dividing the image into blocks; searching for a matching block with the smallest error value between the current frame image block in the previous frame image, and obtaining Match the displacement vector of the block to the current frame image block; classify the displacement vector, and calculate the average displacement vector in each category; search for the matching block corresponding to the current frame image block according to the average displacement vector; set the PSNR value greater than the preset threshold corresponding to The image block of the current frame is marked as a reusable area; the target detection result of the previous frame image is used as the image area to be searched, and the matching area with the smallest error value between the current frame and the image area to be searched is searched; the matching area and the reusable The area is used as the repeated area of ​​the current frame in the previous frame image, so that the repeated area is not calculated when performing target detection on the current frame. The present application solves the technical problem in the prior art that there are many calculation areas and the calculation amount increases during target detection.

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...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G06V20/40G06K9/62G06V10/762G06V10/764
CPCG06V20/41G06V20/48G06F18/23213G06F18/2411
Inventor 余德亮谭光
Owner SUN YAT SEN UNIV
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