Inspection System based on Computer Vision
AbstractState-of-the-art inspection systems are often used for surveillance purposes, which inspect human behaviour or detect suspicious activities using visual data. Crowd detection and individual person tracking in real-time require robust human detection. We propose a hybrid method, which is based on a combination of histogram of oriented gradients (HoG) and Haar-like features. The former is used for human silhouette detection and the latter for face detection. Novel method ensures more precise human detection and the ability to estimate looking direction. Our method shows better results then HoG or Haar-like features independently. Ill. 7, bibl. 8 (in English; abstracts in English and Lithuanian).
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