Facial recognition tracking method and system

Abstract

The invention provides a portrait recognition tracking method and system, and the method comprises the steps: firstly obtaining all image frames in a to-be-recognized video sequence; sequentially identifying and extracting at least one human image and corresponding portrait information in all the image frames; and storing the portrait information meeting the preset condition to the pre-created tracking database, and comparing the sequentially extracted portrait information with the tracking database information to update the tracking database so as to realize portrait tracking in the to-be-identified video sequence, thereby realizing accurate multi-person identification in the unconstrained video sequence. And when the face is shielded or hidden, portrait tracking and recognition can still be successfully carried out.

Description

technical field

[0001] The present application relates to the technical field of image recognition, and in particular, to a method and system for tracking person identification. Background technique

[0002] Portrait tracking and recognition are mainly used in security monitoring. Traditional methods have been able to perform the correspondence between people detected along the frame based on hand-crafted functions. Now, with the development and extension of technology, a new method with a specific similarity index is proposed. A network flow approach to generate an appearance-based model for estimating small trajectory similarities between candidate objects.

[0003] With recent years, deep learning techniques applied to facial recognition have led to improvements in multi-person re-identification performance, including deep face recognition methods that use convolutional neural networks and triple loss functions to recognize faces along frames; The end-to-end face detecti...

Examples

Embodiment Construction

[0052] figure 1 It is a schematic flowchart of a method for identifying and tracking a person according to an embodiment of the present application. see figure 1 It is known that a schematic flowchart of a method for identifying and tracking a person provided by an embodiment of the present application may at least include the following steps S101 to S104.

[0053] Step S101: acquiring all image frames in the video sequence to be identified;

[0054] Step S102: sequentially identify and extract at least one portrait and corresponding portrait information in all image frames;

[0055]Step S103: storing the portrait information that meets the preset conditions in a pre-created tracking database, and comparing the tracking database information based on the sequentially extracted portrait information to update the tracking database;

[0056] Step S104: Using the updated tracking database to realize the tracking of the person in the video sequence to be recognized.

[0057] Bas...

technical field

[0001] The present application relates to the technical field of image recognition, and in particular, to a method and system for tracking person identification. Background technique

[0002] Portrait tracking and recognition are mainly used in security monitoring. Traditional methods have been able to perform the correspondence between people detected along the frame based on hand-crafted functions. Now, with the development and extension of technology, a new method with a specific similarity index is proposed. A network flow approach to generate an appearance-based model for estimating small trajectory similarities between candidate objects.

[0003] With recent years, deep learning techniques applied to facial recognition have led to improvements in multi-person re-identification performance, including deep face recognition methods that use convolutional neural networks and triple loss functions to recognize faces along frames; The end-to-end face detecti...

Examples

Embodiment Construction

[0052] figure 1 It is a schematic flowchart of a method for identifying and tracking a person according to an embodiment of the present application. see figure 1 It is known that a schematic flowchart of a method for identifying and tracking a person provided by an embodiment of the present application may at least include the following steps S101 to S104.

[0053] Step S101: acquiring all image frames in the video sequence to be identified;

[0054] Step S102: sequentially identify and extract at least one portrait and corresponding portrait information in all image frames;

[0055]Step S103: storing the portrait information that meets the preset conditions in a pre-created tracking database, and comparing the tracking database information based on the sequentially extracted portrait information to update the tracking database;

[0056] Step S104: Using the updated tracking database to realize the tracking of the person in the video sequence to be recognized.

[0057] Bas...

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