Key frame acquisition method for human image video system

An acquisition method and key frame technology, applied in the field of video processing, can solve the problems of recognition performance impact, system speed slowdown, etc., to achieve the effect of ensuring recognition speed, improving accuracy and ensuring recognition performance

Active Publication Date: 2015-11-11
SHANGHAI YITU INFORMATION TECH CO LTD
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Problems solved by technology

The easiest way is to recognize all K frames of images, which will slow down the system speed, because the time overhead of the recognition module is very large (1 frame 1 second, and a person has 24 frames of images per second)
A common practice is to select the P frame with the most positive face (P is approximately equal to 3), so as to ensure the speed, but the recognition performance will be affected

Method used

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  • Key frame acquisition method for human image video system

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Embodiment Construction

[0035] The present invention will be described in detail below in conjunction with the accompanying drawings and specific embodiments. This embodiment is carried out on the premise of the technical solution of the present invention, and detailed implementation and specific operation process are given, but the protection scope of the present invention is not limited to the following embodiments.

[0036] Such as figure 1 As shown, this embodiment provides a key frame acquisition method for a portrait video system. This method takes into account the influence of factors between multiple images, and also considers the information of collaboration between different frames. The specific steps are as follows:

[0037] Step S1, acquire video images, and perform key point detection on each frame of images. The input to the keypoint detection process is the location of the image and the face frame, and the output is the keypoint location. Here, HoG+SVM is used for the first round of ...

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Abstract

The present invention relates to a key frame acquisition method for a human image video system. The method comprises the following steps of: 1) acquiring a video image, and performing key point detection on each frame of image; 2) performing attribute classification on each frame of image according to the detected key points, and calculating confidence level under each attribute; and 3) selecting P key frames according to the confidence level of each frame of image under different attributes as a basis of face recognition. Compared to the prior art, the selecting process of the key frame is improved, so that the speed is ensured and relatively high recognition performance is achieved.

Description

technical field [0001] The invention relates to the technical field of video processing, in particular to a key frame acquisition method for a portrait video system. Background technique [0002] Face recognition is the core module in the portrait video system. In most portrait systems, the corresponding trajectory will be obtained for passing people. The trajectory of a single person can be represented as a collection of rectangular boxes on K frames of images. The face recognition module in the portrait video system inputs the trajectory of a person and outputs the identity of the person. [0003] Compared with the recognition module of the portrait image system, the main difference of the portrait video system is that it needs to select the face on the appropriate frame for recognition. The easiest way is to recognize all K frames of images, which will slow down the system speed, because the time overhead of the recognition module is very large (1 frame 1 second, and a...

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06K9/00
CPCG06V40/16G06V40/172G06V20/40G06F18/00
Inventor 陈远浩
Owner SHANGHAI YITU INFORMATION TECH CO LTD
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