Method and device for clipping facial images based on face detection and face tracking

Abstract

The invention discloses a method and a device for clipping facial images based on face detection and face tracking, and belongs to the technical field of the face tracking. The method comprises the steps: carrying out the face detection on to-be-detected images by adoption of a cascade classifier; carrying out the face tracking on a face goal through a mean value tracing algorithm when the face goal is detected; judging, on each frame, whether the face detection and the face tracking in a same frame correspond to the same face goal or not according to a position of the goal when the face goal leaves a detection area, and selecting out frames in which the face detection and the face tracking correspond to the same face goal; from the selected frames, calculating an overlap ratio between a window of the face detection and a window of the face tracking in the same frame, and serving a face image which is in a frame with the largest overlap ratio and is detected and obtained by the face detection as a clipped face image. The device comprises a detection module, a tracking module, a judging module and a clipping module. According to the method and the device for clipping the facial images based on the face detection and the face tracking, the clear face images are clipped, and accuracy of face tracking and a tracking effect are improved.

Description

technical field [0001] The present invention relates to the technical field of human face tracking, in particular to a method and device for capturing human face images based on human face detection and tracking. Background technique [0002] With the improvement of security requirements, the commercial value of people flow statistics, personnel feature recognition, and face recognition technology has begun to be revealed and gradually started to be applied. As an important part of these tasks, face detection and face tracking have a very important role and significance. In recent years, researchers have invested a lot of time and energy in this field, devoting themselves to developing fast and accurate face detection methods and tracking methods. [0003] Face detection refers to the process of determining the position and size of a human face in a given picture. At present, the commonly used face detection method is a face detection method based on Haar features and Boos...

AI Technical Summary

Problems solved by technology

With the increase of the number of tracking frames in the current face tracking technology, the tracking error will gradually increase, resulting in poor tracking effect and low accuracy of the tracking results. When the face appears in the video, a clearer frame is saved. It is also an important requirement and function in the security system to use it as a database in the future

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