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Gait recognition method based on motion time series energy graph

A gait recognition and energy map technology, applied in character and pattern recognition, instruments, computer components, etc., can solve problems such as inaccurate gait cycle detection results, loss of dynamic information of gait features, and high complexity of the outermost contour , to achieve the effects of shortening the extraction time, accurate classification and identification, and easy implementation

Inactive Publication Date: 2018-12-14
XI AN JIAOTONG UNIV
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Problems solved by technology

However, there are three problems in this method: (1) The complexity of calculating the outermost contour with local information entropy is very time-consuming; (2) The gait cycle detection result is inaccurate; (3) The final extracted gait features lose dynamic information

Method used

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  • Gait recognition method based on motion time series energy graph
  • Gait recognition method based on motion time series energy graph
  • Gait recognition method based on motion time series energy graph

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Embodiment Construction

[0048] The specific details in each step of the present invention will be described in detail below in conjunction with the accompanying drawings.

[0049] The present invention proposes a gait recognition method based on a motion time series energy graph, the whole process of the method is as follows figure 1As shown, it mainly includes gait cycle detection, motion information energy map calculation and motion timing energy map generation.

[0050] The method specifically includes the following steps:

[0051] Step A: After performing preprocessing operations such as background subtraction and foreground alignment on the input pedestrian sequence image, a silhouette image with a uniform size is obtained, such as figure 2 Shown is a partial silhouette sequence of one of the preprocessed pedestrians; gait cycles are detected by detecting extreme points of the average width of the leg region.

[0052] The concrete steps of described step A are as follows:

[0053] Step A01: ...

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Abstract

The invention discloses a gait recognition method based on a motion timing energy graph. The method comprises the steps of: 1, detecting a gait period by detecting an extreme point of an average widthof a leg region; 2, after detecting the gait period, calculating a motion information energy diagram to characterize the dynamic information and the static information of the gait; 3, mapping the motion information energy map to a continuous RGB channel to generate a motion timing energy map; 4, classifying and recognizing the gait feature with the nearest neighbor classifier by using the motionsequential energy graph. The invention can characterize the static information, the dynamic information and the timing information of gait, and improves the feature extraction efficiency and the recognition accuracy under the condition of the side view angle.

Description

technical field [0001] The invention belongs to the application field of pattern recognition, and specifically proposes a gait recognition method based on a motion sequence energy diagram. Background technique [0002] As an emerging biometric recognition technology, gait recognition can be recognized in long-distance or low-resolution monitoring scenarios, and it is difficult to camouflage, and the acquisition method is concealed. Based on the above advantages, gait recognition has wide application and development prospects in the field of video surveillance. However, the current gait recognition methods have the problem of low recognition rate in complex outdoor environments. Gait recognition methods are mainly divided into two categories according to their characteristic representation methods: model-based methods and non-model-based methods. Model-based methods explicitly simulate the human body or motion based on prior knowledge, generally by building a human structure...

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Application Information

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IPC IPC(8): G06K9/00G06K9/62
CPCG06V40/25G06F18/24147
Inventor 宋永红邱亚茹谢永红张元林
Owner XI AN JIAOTONG UNIV
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