Key frame extraction method based on inter-frame difference and color histogram difference

A technology of color histogram and inter-frame difference, applied in image enhancement, image analysis, image data processing and other directions, can solve the problem of not taking into account the requirements of key frame extraction, less research on fixed camera video, and complex calculation, etc. Meet real-time requirements, reduce time complexity, and achieve the effect of fewer key frames

Pending Publication Date: 2021-01-26
杭州卷积云科技有限公司
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Problems solved by technology

This type of method is simple, but it is easy to select more redundant frames
[0004] Most of the current research is based on the video of camera switching, and there is less research on the video of fixed camera
Secondly, it does not take into account the key frame extracti

Method used

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  • Key frame extraction method based on inter-frame difference and color histogram difference
  • Key frame extraction method based on inter-frame difference and color histogram difference
  • Key frame extraction method based on inter-frame difference and color histogram difference

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Embodiment Construction

[0032] The present invention is further described below in conjunction with accompanying drawing:

[0033] see Figure 1 to Figure 3 ,Such as figure 1 Shown is the flow chart of the present invention, the key frame extraction technique based on inter-frame difference and color histogram difference of the present invention, comprises the following steps:

[0034] Step 1: Detect moving objects in the surveillance video, divide the surveillance video into video sequences containing only moving objects, and obtain candidate key frames. Its specific operation is:

[0035] First save the first frame of the video as a candidate key frame.

[0036] Extract two adjacent video frames f k (x,y,c), f k+1 (x,y,c), where c represents the image channel. calculate f k (x,y,c), f k+1 The absolute value of each pixel point difference in (x,y,c):

[0037] D. k (x,y,c)=|f k+1 (x,y,c)-f k (x,y,c)|

[0038] will image D k The color space of (x, y, c) is converted to the gray space D ...

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Abstract

The invention discloses a key frame extraction method based on inter-frame difference and color histogram difference. The method comprises the steps: in the first stage, detecting a moving target in amonitoring video based on inter-frame difference, dividing the monitoring video into a video sequence only containing the moving target, and obtaining candidate key frames; and in the second stage, calculating the color histogram difference value of two adjacent frames in the candidate key frames, setting a threshold value, removing similar image frames, and obtaining a final key frame set. Compared with other key frame extraction technologies, the method has the advantages that the time required for key frame extraction is remarkably shortened, the real-time requirement is met and redundantinformation in the set is reduced as much as possible while relatively high representativeness of the content of the key frame set is ensured, so that the number of key frame frames is relatively small, and thus, the time complexity of task algorithms such as subsequent target identification and pedestrian quantity statistics is reduced.

Description

technical field [0001] The invention belongs to the technical field of video detection, and in particular relates to a key frame extraction method based on inter-frame difference and color histogram difference. Background technique [0002] With the rapid development of technologies such as smart terminals and the Internet of Things, video data is growing explosively, and video analysis methods that rely on manual screening can no longer meet actual needs. On the one hand, the speed is slow, and it is difficult for manual screening methods to process a large amount of video data in real time; on the other hand, the cost is high, and massive video analysis brings huge labor costs. How to use computer resources to extract the content we are interested in from massive video data, and provide more effective data for target recognition, people flow statistics and other technologies has become a problem that needs to be solved at present. [0003] At present, the typical key fram...

Claims

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Application Information

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IPC IPC(8): G06K9/00G06T5/00G06T5/40G06T7/11G06T7/136G06T7/90
CPCG06T7/11G06T7/136G06T7/90G06T5/002G06T5/40G06V20/42G06V20/46G06V2201/07
Inventor 杨树森赵鹏包舒玲陈宇民张靖琪王艺蒙郭思言
Owner 杭州卷积云科技有限公司
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