Face Tracking Algorithm based on Online random forests Detection
The Paper proposed a face tracking algorithm based on online random forests.The algorithm achieved detectionbased tracking using online incremental extremely random forests detector,P-N learning is added to correct the detection error,and the dynamic target framework is proposed to maintain the online training set.The proposed algorithm integrated the results of the detector and the P-N learning,and the similarity to the dynamic target framework,thus the tracking position is confirmed.The experimental results show,the proposed algorithm could perform the tracking to any face rapidly and stably in a long-term period and complex background.Thus have practical worth in many application areas.
Online Learning Extremely Random Forests PN Learning Dynamic Target Framework Face Tracking
Fang Bao Yankai Zhang
Jiangyin Polytechnic College;Information Intelligence Fusion Research Engineeringcenter of Jiangsu j Jiangnan University wuxi Jiangsu china
国际会议
贵阳
英文
320-323
2015-08-18（万方平台首次上网日期，不代表论文的发表时间）