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A multi-camera video event backtracking method based on face recognition

A technology for face recognition and video events, which is applied to computer components, character and pattern recognition, instruments, etc., can solve the problems of time-consuming and labor-intensive retrieval of video events, and low retrieval efficiency

Inactive Publication Date: 2018-04-27
南京华控创为信息技术有限公司
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Problems solved by technology

[0004] The purpose of the present invention is to provide a multi-camera video event retrospective tracking method based on face recognition to solve the problems of time-consuming, labor-intensive and low retrieval efficiency in manually viewing video events

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  • A multi-camera video event backtracking method based on face recognition
  • A multi-camera video event backtracking method based on face recognition
  • A multi-camera video event backtracking method based on face recognition

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Embodiment Construction

[0075] The present invention will be described in detail below with reference to the drawings and specific embodiments.

[0076] see figure 1 , a kind of face recognition-based multi-camera video event retrospective tracking method of the present invention is specifically implemented according to the following steps:

[0077] Step 1: Train the face cascade classifier through the Adaboost method based on Haar-like features. The specific process is as follows:

[0078] In face detection, each weak classifier that composes the strong classifier trained by the Adaboost algorithm corresponds to a Haar-like feature, which is the optimal weak classifier based on this feature, representing the grayscale of a certain part of the face distribution characteristics. Since not every face feature described by Haar-like features is important, it can be used as a feature to distinguish between a face and a non-face, so the Adaboost algorithm needs to be iteratively selected from these very ...

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Abstract

The invention discloses a multi-camera video event retrospective tracking method based on face recognition, which first trains a face cascade classifier through the Adaboost method based on Haar-like features, and then uses this classifier to detect and track the events that appear in each camera Face, get the face database, frame the face area of ​​the target pedestrian in the video, extract its LBP features, and match and identify the target face in the face database, and finally extract the target in each face according to the face recognition results The time at which the camera appears gives its walking path, thereby obtaining the backtracking result of the target. In the present invention, by applying the face recognition method in multiple camera video systems in multiple scenes, the video events are traced back, reducing the workload of manual video query and improving the query efficiency.

Description

technical field [0001] The invention belongs to the technical field of intelligent analysis systems, and in particular relates to a multi-camera video event retrospective tracking method based on face recognition. Background technique [0002] Video surveillance systems are everywhere in people's lives. When an abnormal event occurs, it is usually necessary to find suspicious personnel targets from the surveillance video. The traditional method is often to check manually. Due to the large amount of video surveillance data, manual search is time-consuming, labor-intensive and inefficient, and it is easy to miss a lot of useful information. Therefore, through the processing of monitoring data by machines, the intelligent realization of backtracking has important practical application value. [0003] For the pedestrian target in the video, although there are many kinds of features, the human face is a reliable and superior biometric feature. In recent years, with the continuo...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G06K9/00G06K9/66G06K9/46
Inventor 张二虎白晓楠张卓敏
Owner 南京华控创为信息技术有限公司
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