An efficient multiple faces tracking system

作者：Shen, Shuhan^*; Liu, Yuncai

来源：1st International Congress on Image and Signal Processing, 2008-05-27 To 2008-05-30.

DOI：10.1109/CISP.2008.113

• Color modeling
• Face detector
• Motion modeling
• Multiple faces tracking
• Relevance Vector Machine
• Similarity matrix
• Tracking method
• Tracking process

A multiple faces tracking system was presented based on Relevance Vector Machine (RVM) and Boosting learning. In this system, a face detector based on Boosting learning is used to detect faces at the first frame, and the face motion model and color model are created. In the tracking process different tracking methods are used according to different states of faces, and the states are changed according to the tracking results. When the full image search condition is satisfied, a full image search is started in order to find new coming faces and former occluded faces. In the full image search and local search, the similarity matrix is introduced to help matching faces efficiently. Experimental results demonstrate the capability and efficiency of the proposed system.

• 出版日期2008
• 单位上海交通大学