Name
Abstract | ||
|---|---|---|
The traditional examination monitoring has some disadvantages: monitor dead, blur distance monitoring pictures, monitoring environment restrictions and so on. This article researches wearable monitoring method. The method supplies multi-objective, multi-angle and close supervision, and breaks some technical barriers such as room space constrain, light interference. This article mentioned an integral projection algorithm basing on narrowing region, and this algorithm can focus face characters from video picture sequence, so it supplies precision guarantee for face pose estimate. Its basic thought is that establish the mapping relationship between position parameters and face three-dimensional pose by using the positions of face oval models and feature points matrixes in images, then apply the face pose in intelligent video examination monitoring system according to the gesture parameters obtained from inputted face images, and the experiment showed the system can run well. |
Year | DOI | Venue |
|---|---|---|
2010 | 10.1109/APWCS.2010.31 | APWCS |
Keywords | Field | DocType |
monitor,video signal processing,narrowing region,multitarget pose estimation,face recognition,inputted face image,traditional examination monitoring,light interference,pose estimate,computerised monitoring,multi-target,integral projection algorithm,pose estimation,wearable monitoring method,wearable monitoring system,method supplies multi-objective,wearable,feature extraction,face character,blur distance monitoring picture,intelligent video examination monitoring,gesture parameters,feature points matrixes,face oval model,multi-target pose estimation,video picture sequence,intelligent video examination monitoring system,face pose estimation,wearable monitoring,room space constraint,face oval models,three dimensional,wearable computers,decision support systems,erbium | Facial recognition system,Computer vision,Monitoring system,Computer science,Gesture,Wearable computer,Decision support system,Feature extraction,Pose,Artificial intelligence,Interference (wave propagation) | Conference |
ISBN | Citations | PageRank |
978-1-4244-6468-5 | 0 | 0.34 |
References | Authors | |
0 | 3 | |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Xiaoping Li | 1 | 0 | 0.34 |
| Luyang Liu | 2 | 2 | 2.05 |
| Xiaoxing Lv | 3 | 0 | 2.70 |