Real-Time Multiple Face Detection and Tracking
سال انتشار: 1388
نوع سند: مقاله کنفرانسی
زبان: انگلیسی
مشاهده: 2,025
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شناسه ملی سند علمی:
CSICC14_075
تاریخ نمایه سازی: 24 خرداد 1388
چکیده مقاله:
In recent years, processing the images that contain human faces has been a growing research interest because of establishment and development of automatic methods especially in security applications, compression, and perceptual user interface. In this paper, a new method has been proposed for multiple face detection and tracking in video frames. The proposed method uses skin color, edge and shape information, face detection, and dynamic movement analysis of faces for more accurate real-time multiple face detection and tracking purposes. One of the main advantages of the proposed method is its robustness against usual challenges in face tracking such as scaling, rotation, scene changes, fast movements, and partial occlusions.
نویسندگان
Ahmad Ali Abin
Sharif University of Technology, Tehran, Iran
Mehran Fotouhi
Sharif University of Technology, Tehran, Iran
Shohreh Kasaei
Sharif University of Technology, Tehran, Iran