Tracking Human Poses with Head Orientation Estimation

• 作者: LI Ling LIU Wanquan TIAN Jinglan WANG Zhengyuan
• 来源期刊: 仪器仪表学报：英文版
• 学科: 工学
• 年，卷（期）: 2017,（3）
• 页码范围: 40-46
• 页数: 7页
• 分类号: TP391.41

摘要

Lots of progress has been made recently on 2 D human pose tracking with tracking-by-detection approaches. However,several challenges still remain in this area which is due to self-occlusions and the confusion between the left and right limbs during tracking. In this work,a head orientation detection step is introduced into the tracking framework to serve as a complementary tool to assist human pose estimation. With the face orientation determined,the system can decide whether the left or right side of the human body is exactly visible and infer the state of the symmetric counterpart. By granting a higher priority for the completely visible side,the system can avoid double counting to a great extent when inferring body poses. The proposed framework is evaluated on the HumanEva dataset. The results show that it largely reduces the occurrence of double counting and distinguishes the left and right sides consistently.