Face real time detecting method based on video and device thereof

Abstract

The invention discloses a face real time detecting method based on video and device thereof, belonging to the field of multimedia. In the invention, a video image frame is divided into a full detection frame and a predetermined frame; the type of the current input video image frame is judged according to the frame interval between the current input video image frame and the former full detection frame; and a corresponding detection way is adopted. As video sequence has predictable characteristics in a time-space domain, parts of the video image frame are detected by searching different regions by different step lengths, so that the method can efficiently reduce the searching time in the detecting process, avoid the shortage that the general algorithm based on AdaBoost cascade algorithm searches all the regions by fixed step length, greatly reduce the calculating complexity in the detecting process and guarantee the accuracy of the detection.

Description

technical field [0001] The invention relates to the field of multimedia, in particular to face detection technology in the field of multimedia. Background technique [0002] In recent years, handheld devices such as mobile phones and digital cameras have become more and more popular among consumers due to their portability and rich multimedia applications. With the increasing popularity of handheld devices, people's demand for face detection, which is the basic technology of many multimedia applications, is becoming more and more urgent. [0003] The so-called face detection refers to the process and method of detecting the position, direction, size and number of faces of all existing faces in multimedia data (including images and videos, etc.). Face detection is of great significance and can be applied to fields such as face recognition, video surveillance, and content-based retrieval, and is an essential component of the above-mentioned applications. However, the human f...

AI Technical Summary

Problems solved by technology

[0004] However, the inventors of the present invention have found that, in the existing face detection technology, each frame is detected by searching the entire area with a fixed step size, so the computational complexity of the face detection process is relatively high

Most of the handheld devices are embedded systems with relatively poor computing power and weak storage capacity, so it is difficult to realize real-time face detection, and there will be delays, pauses and jumps.

Images