Method and system of real time detecting and continuous tracing human face in video frequency sequence

A real-time detection and video sequence technology, applied in the field of face detection and tracking, can solve the problems of poor real-time performance and long calculation time, and achieve the effect of high detection rate, fast detection speed and high efficiency

Active Publication Date: 2006-06-28
BEIJING VIMICRO ARTIFICIAL INTELLIGENCE CHIP TECH CO LTD
View PDF0 Cites 106 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0007] The present invention solves the technical problems of the method for real-time detection and continuous tracking of human faces in the video sequences collected in the prior art and the system's relatively long calculation time and poor real-time performance. The face detection method of the classifier realizes the real-

Method used

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
View more

Image

Smart Image Click on the blue labels to locate them in the text.
Viewing Examples
Smart Image
  • Method and system of real time detecting and continuous tracing human face in video frequency sequence
  • Method and system of real time detecting and continuous tracing human face in video frequency sequence
  • Method and system of real time detecting and continuous tracing human face in video frequency sequence

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0055] The present invention proposes a method for real-time detection and continuous tracking of human faces in video sequences, combining figure 1 What is shown:

[0056] At first, input video image, in this step, input video image by camera in real time;

[0057] Then, the real-time face detection algorithm is used to detect the face of the input video image;

[0058] After receiving the real-time input video image, search each frame of image to detect the existence of human face; Figure 2a As shown, the result of face detection is given, where the square frame represents the detected face; during the detection process, if one or more faces are detected in a certain frame of image, then in the next two frames of image Track these faces in the image, and detect and verify the faces tracked in the subsequent two frames of images, and judge whether the previous detection results are real faces;

[0059] Only when a human face is detected in a certain position for three con...

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to view more

PUM

No PUM Login to view more

Abstract

This invention puts forward a method and a system for real time testing and continuous tracking of man-face in a video sequence including the following steps: carrying out a test algorithm to a man-face input video image, then applying a rough and fine two stages of test algorithm to verify the tested face, applying an object following algorithm to follow the verified one and verifying it by verifying the followed regions, which realizes a real time test to a positive and vertical man-face by a test method based on AdaBoost statistic hierarchical sorter and Mean shift and a square pattern property.

Description

technical field [0001] The invention relates to the field of human face detection and tracking, in particular to a method and system for real-time detection and continuous tracking of human faces in video sequences. Background technique [0002] Human face is one of the most convenient ways of human-computer interaction in computer vision system. Face detection is to determine the position, size and other information of all faces in an image or image sequence, while face tracking is to continuously track one or more detected faces in a video sequence. Face detection and tracking technology is not only a necessary prerequisite for face recognition, expression recognition, face synthesis and other technologies, but also has a wide range of application values ​​in intelligent human-computer interaction, video conferencing, intelligent monitoring, video retrieval and other fields. [0003] The importance of face detection and the complexity of face patterns have made face detec...

Claims

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to view more

Application Information

Patent Timeline
no application Login to view more
IPC IPC(8): G06K9/00G06K9/32
Inventor 黄英王浩俞青
Owner BEIJING VIMICRO ARTIFICIAL INTELLIGENCE CHIP TECH CO LTD
Who we serve
  • R&D Engineer
  • R&D Manager
  • IP Professional
Why Eureka
  • Industry Leading Data Capabilities
  • Powerful AI technology
  • Patent DNA Extraction
Social media
Try Eureka
PatSnap group products