A low complexity method for real-time gaze tracking
| Autor: | Jing Zhang, Mengkai Zhao, Li Zhuo, Lansun Shen |
|---|---|
| Rok vydání: | 2008 |
| Předmět: |
Artificial neural network
Computational complexity theory business.industry Computer science ComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISION Image segmentation Tracking (particle physics) Facial recognition system Gaze Face (geometry) Computer vision Artificial intelligence business Image resolution |
| Zdroj: | MMSP |
| Popis: | The paper addresses a novel, fast and low complexity gaze tracking method, which remedies computation complexity and real-time processing problems of most existing gaze tracking methods. Face images are captured and pre-processed under infrared lamp-houses with dual thresholds. Pupil area is verified by the run-length in eight directions, and the gaze point is located by mapping the vectors of pupil and reflection point or using neural network. The experimental results show that the real-time processing of gaze tracking, with high resolution and high accuracy simultaneously, is achieved in this new system. |
| Databáze: | OpenAIRE |
| Externí odkaz: |
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