A real time human face tracking method and a system based on spatio-temporal context learning

A space-time context and context technology, applied in the field of face tracking, can solve problems such as drift easily, and achieve the effect of improving correct update ability and robustness
CN104933735AInactive Publication Date: 2015-09-23SOUTHWEST CHINA RES INST OF ELECTRONICS EQUIP
3 Cites 12 Cited by

Patent Information

Authority / Receiving Office
CN · China
Patent Type
Applications(China)
Current Assignee / Owner
SOUTHWEST CHINA RES INST OF ELECTRONICS EQUIP
Publication Date
2015-09-23
Estimated Expiration
Not applicable · inactive patent

Smart Images

  • Figure 1
    Figure 1
  • Figure 2
    Figure 2
  • Figure 3
    Figure 3
Patent Text Reader

Abstract

The invention relates to the technical field of computer vision processing, and discloses a real time human face tracking method and a system based on spatio-temporal context learning. The method specifically comprises the following steps: Step 1, initial frame human face detecting and target human face determining; obtaining positions of all the human faces in an initial frame through a human face detector and transmitting determined target human face positions to a tracker to begin tracking; Step 2, historical frame information learning and module updating; Step 3, present frame candidate target human face determining; and Step 4, present frame target position determining: from the second frame, for the n frame (n>1), a candidate target human face is mixed with an updated tracking result to obtain the final position of the human face in the present frame. The tracker and an effect determining device are updated through the above method so as to enable effective combination of the tracking and the human face detection result in a framework of learning. The tracking is enabled to be adapted to problems facing long-time tracking. Simultaneously, problems of tracking drift or failures due to interference human faces are solved.
Need to check novelty before this filing date? Find Prior Art

Description

technical field

[0001] The invention relates to the technical field of face tracking, and discloses a real-time face tracking method and system based on spatio-temporal context learning. Background technique

[0002] Face tracking includes feature matching based tracking, region matching based tracking and model matching based tracking. Tracking based on feature matching: select the face in a frame of image as the face to be tracked, and extract the features that need to be tracked, and extract the image features in the next frame of the sequence image, and extract the current frame The image features of the image are compared with the face features that need to be tracked, and whether it is the corresponding face is judged according to the comparison result, so as to complete the tracking process. Such methods can lead to tracking failure due to occlusion or light changes. Tracking based on area matching: This method uses the common feature information of the connected ar...

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